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py
Python
add_label.py
Mause/pull_requests
6c3aa3feb8ec775c184eaa70d09b944ba753125b
[ "MIT" ]
null
null
null
add_label.py
Mause/pull_requests
6c3aa3feb8ec775c184eaa70d09b944ba753125b
[ "MIT" ]
39
2021-02-10T05:59:09.000Z
2022-03-18T07:21:29.000Z
add_label.py
Mause/pull_requests
6c3aa3feb8ec775c184eaa70d09b944ba753125b
[ "MIT" ]
null
null
null
from asyncio import get_event_loop from dataclasses import dataclass, field from typing import Dict, List, Optional, Union from aiohttp import ClientSession from pydantic import BaseModel from sgqlc.endpoint.base import BaseEndpoint from sgqlc.operation import Operation from sgqlc_schemas.github.schema import ( Ad...
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0.072321
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851
py
Python
DataEngineering/Chapter7/7.6/financialdata/financialdata/scheduler.py
yz830620/FinMindBook
1ffda3541eb73e6d4cb47798bf9d28b66a49939b
[ "MIT" ]
5
2021-12-13T12:03:22.000Z
2022-03-30T08:51:19.000Z
DataEngineering/Chapter7/7.6/financialdata/financialdata/scheduler.py
yz830620/FinMindBook
1ffda3541eb73e6d4cb47798bf9d28b66a49939b
[ "MIT" ]
1
2022-01-26T05:42:56.000Z
2022-03-12T08:24:57.000Z
DataEngineering/Chapter7/7.6/financialdata/financialdata/scheduler.py
yz830620/FinMindBook
1ffda3541eb73e6d4cb47798bf9d28b66a49939b
[ "MIT" ]
6
2021-12-14T04:32:01.000Z
2022-03-31T17:15:11.000Z
import time import datetime from apscheduler.schedulers.background import BackgroundScheduler from financialdata.producer import Update from loguru import logger def sent_crawler_task(): # 將此段,改成發送任務的程式碼 # logger.info(f"sent_crawler_task {dataset}") today = datetime.datetime.today().date().strftime("%Y-%...
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d289828efb378099de1d3d6011a5a3e50df04330
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py
Python
openmc_plasma_source/plotting/plot_tokamak_source.py
mdfaisal98/openmc-plasma-source
e55d61ce6d641f4d382ce298b6f6335cd46bc507
[ "MIT" ]
null
null
null
openmc_plasma_source/plotting/plot_tokamak_source.py
mdfaisal98/openmc-plasma-source
e55d61ce6d641f4d382ce298b6f6335cd46bc507
[ "MIT" ]
null
null
null
openmc_plasma_source/plotting/plot_tokamak_source.py
mdfaisal98/openmc-plasma-source
e55d61ce6d641f4d382ce298b6f6335cd46bc507
[ "MIT" ]
null
null
null
import matplotlib.pyplot as plt from matplotlib import cm import numpy as np def scatter_tokamak_source(source, quantity=None, **kwargs): """Create a 2D scatter plot of the tokamak source. See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html for more arguments. Args: s...
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py
Python
Exercício feitos pela primeira vez/ex046.py
Claayton/pythonExerciciosLinux
696cdb16983638418bd0d0d4fe44dc72662b9c97
[ "MIT" ]
1
2021-01-23T15:43:34.000Z
2021-01-23T15:43:34.000Z
Exercício feitos pela primeira vez/ex046.py
Claayton/pythonExerciciosLinux
696cdb16983638418bd0d0d4fe44dc72662b9c97
[ "MIT" ]
null
null
null
Exercício feitos pela primeira vez/ex046.py
Claayton/pythonExerciciosLinux
696cdb16983638418bd0d0d4fe44dc72662b9c97
[ "MIT" ]
null
null
null
#Exercício046 from time import sleep import emoji print('\033[32mCONTAGEM REGRESSIVA PARA O ANO NOVO:\033[m') sleep(1) for c in range(10, 0 - 1, -1):#repete os números de 10 até o 0 print(c) sleep(1) print(emoji.emojize("\033[31m:boom::boom::boom:KABUM:boom::boom::boom:", use_aliases=True)) print(emoji.emojize(...
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0
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341
0.547352
d28ad97667405531526925b2fe6abf6f466b39ff
10,989
py
Python
bmds/bmds2/logic/rules.py
shapiromatron/bmds
57562858f3c45e9b9ec23e1c229a8a1de0ea4a70
[ "MIT" ]
2
2017-05-01T20:00:26.000Z
2019-07-09T16:42:25.000Z
bmds/bmds2/logic/rules.py
shapiromatron/bmds
57562858f3c45e9b9ec23e1c229a8a1de0ea4a70
[ "MIT" ]
20
2016-11-23T21:30:22.000Z
2022-02-28T15:42:36.000Z
bmds/bmds2/logic/rules.py
shapiromatron/bmds
57562858f3c45e9b9ec23e1c229a8a1de0ea4a70
[ "MIT" ]
2
2016-06-28T20:32:00.000Z
2017-02-23T20:30:24.000Z
import abc import math from ... import constants class Rule(abc.ABC): def __init__(self, failure_bin, **kwargs): self.failure_bin = failure_bin self.enabled = kwargs.get("enabled", True) self.threshold = kwargs.get("threshold", float("nan")) self.rule_name = kwargs.get("rule_name"...
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388
0.035295
0
0
2,341
0.212954
d28b5d6c386f989e7b581b7ea7ba92a93a7470b3
1,959
py
Python
nets/static/conv_rnn_convT.py
MaximilienLC/nevo
c701a1202bc18d89a622472918733bf78ba5e304
[ "Apache-2.0" ]
null
null
null
nets/static/conv_rnn_convT.py
MaximilienLC/nevo
c701a1202bc18d89a622472918733bf78ba5e304
[ "Apache-2.0" ]
null
null
null
nets/static/conv_rnn_convT.py
MaximilienLC/nevo
c701a1202bc18d89a622472918733bf78ba5e304
[ "Apache-2.0" ]
1
2022-03-31T20:44:09.000Z
2022-03-31T20:44:09.000Z
# Copyright 2022 Maximilien Le Clei. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in w...
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575
0.293517
d28b646d833333371908e74411b14fa7d1f681ca
3,306
py
Python
ors2bryton.py
andbue/ors2bryton
7a843cbf2e4d1fc4ca85497cb23919431d8d3843
[ "Unlicense" ]
null
null
null
ors2bryton.py
andbue/ors2bryton
7a843cbf2e4d1fc4ca85497cb23919431d8d3843
[ "Unlicense" ]
1
2021-02-02T13:11:23.000Z
2021-09-10T16:38:16.000Z
ors2bryton.py
andbue/ors2bryton
7a843cbf2e4d1fc4ca85497cb23919431d8d3843
[ "Unlicense" ]
null
null
null
from sys import argv from os.path import splitext from lxml import etree from struct import pack def main(): print(argv) gpx = argv[1] """ bryton: 1: go ahead 2: right 3: left 4: slight right 5: slight left 6: close right 7: close left ...
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0.491228
d28b98aeee69dc1cdd515a34f7751e391f42ef74
5,022
py
Python
src/main/python/smart/smartplots3_run.py
cday97/beam
7e1ab50eecaefafd04daab360f8b12bc7cab559b
[ "BSD-3-Clause-LBNL" ]
123
2017-04-06T20:17:19.000Z
2022-03-02T13:42:15.000Z
src/main/python/smart/smartplots3_run.py
cday97/beam
7e1ab50eecaefafd04daab360f8b12bc7cab559b
[ "BSD-3-Clause-LBNL" ]
2,676
2017-04-26T20:27:27.000Z
2022-03-31T16:39:53.000Z
src/main/python/smart/smartplots3_run.py
cday97/beam
7e1ab50eecaefafd04daab360f8b12bc7cab559b
[ "BSD-3-Clause-LBNL" ]
60
2017-04-06T20:14:32.000Z
2022-03-30T20:10:53.000Z
import pandas as pd import smartplots3_setup def createSetup(name,expansion_factor,percapita_factor,plot_size,settings): plt_setup_smart={ 'name': name, 'expansion_factor':expansion_factor, 'percapita_factor':percapita_factor, 'scenarios_itr': [], 'scenarios_id':[], ...
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0
0
0
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0
0
1,654
0.329351
d28c4ad642d7e25e12003d4150c60dd4429d8299
50
py
Python
genrl/deep/agents/sac/__init__.py
ajaysub110/JigglypuffRL
083fd26d05b7eac018e6db7d32c4be4587461766
[ "MIT" ]
null
null
null
genrl/deep/agents/sac/__init__.py
ajaysub110/JigglypuffRL
083fd26d05b7eac018e6db7d32c4be4587461766
[ "MIT" ]
null
null
null
genrl/deep/agents/sac/__init__.py
ajaysub110/JigglypuffRL
083fd26d05b7eac018e6db7d32c4be4587461766
[ "MIT" ]
null
null
null
from genrl.deep.agents.sac.sac import SAC # noqa
25
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0.12
d28c64bd9262b8b74070c47f2ceb3b8061a39ebe
238
py
Python
contrib/libs/cxxsupp/libsan/generate_symbolizer.py
HeyLey/catboost
f472aed90604ebe727537d9d4a37147985e10ec2
[ "Apache-2.0" ]
6,989
2017-07-18T06:23:18.000Z
2022-03-31T15:58:36.000Z
contrib/libs/cxxsupp/libsan/generate_symbolizer.py
HeyLey/catboost
f472aed90604ebe727537d9d4a37147985e10ec2
[ "Apache-2.0" ]
1,978
2017-07-18T09:17:58.000Z
2022-03-31T14:28:43.000Z
contrib/libs/cxxsupp/libsan/generate_symbolizer.py
HeyLey/catboost
f472aed90604ebe727537d9d4a37147985e10ec2
[ "Apache-2.0" ]
1,228
2017-07-18T09:03:13.000Z
2022-03-29T05:57:40.000Z
import os import sys def main(): print 'const char* ya_get_symbolizer_gen() {' print ' return "{}";'.format(os.path.join(os.path.dirname(sys.argv[1]), 'llvm-symbolizer')) print '}' if __name__ == '__main__': main()
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0.365546
d28c678a957ea394e636e4d4799124a81070a2a0
775
py
Python
scripts/scheduler/scheduler.py
OCHA-DAP/hdx-scraper-unosat-flood-portal
80b0bcd404993e4bd1dae442f794c9f86b6d5328
[ "MIT" ]
1
2016-07-22T13:32:54.000Z
2016-07-22T13:32:54.000Z
scripts/scheduler/scheduler.py
OCHA-DAP/hdx-scraper-unosat-flood-portal
80b0bcd404993e4bd1dae442f794c9f86b6d5328
[ "MIT" ]
21
2015-07-08T21:30:32.000Z
2015-08-27T17:52:24.000Z
scripts/scheduler/scheduler.py
OCHA-DAP/hdxscraper-unosat-flood-portal
80b0bcd404993e4bd1dae442f794c9f86b6d5328
[ "MIT" ]
null
null
null
#!/usr/bin/python # -*- coding: utf-8 -*- import os import sys import time import schedule dir = os.path.split(os.path.split(os.path.realpath(__file__))[0])[0] sys.path.append(dir) from utilities.prompt_format import item from unosat_flood_portal_collect import collect as Collect def Wrapper(patch=False): '''Wrap...
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0
0
0
0
0
205
0.264516
d28c6e3b8a94c187af7ae1ba6acb241b56167d9b
1,916
py
Python
grAdapt/sampling/initializer/Vertices.py
mkduong-ai/grAdapt
94c2659b0f6ff9a2984a9dc58e3c83213313bf90
[ "Apache-2.0" ]
25
2020-11-13T05:57:01.000Z
2021-06-18T11:16:03.000Z
grAdapt/sampling/initializer/Vertices.py
mkduong-ai/grAdapt
94c2659b0f6ff9a2984a9dc58e3c83213313bf90
[ "Apache-2.0" ]
null
null
null
grAdapt/sampling/initializer/Vertices.py
mkduong-ai/grAdapt
94c2659b0f6ff9a2984a9dc58e3c83213313bf90
[ "Apache-2.0" ]
null
null
null
# python # import warnings # Third party imports import numpy as np # grAdapt from .base import Initial from grAdapt.utils.sampling import sample_corner_bounds class Vertices(Initial): """ Samples vertices if n_evals >= 2 ** len(bounds). Else low discrepancy sequences are sampled. """ def __ini...
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0.913883
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0
0
906
0.47286
d28e9a15ec55f39d2fbe7a6ba1ac7924e04991a1
6,456
py
Python
thirdweb/modules/base.py
princetonwong/python-sdk
f35181d97620e29d055498fca75f3702f3bb2449
[ "Apache-2.0" ]
1
2022-02-18T16:59:12.000Z
2022-02-18T16:59:12.000Z
thirdweb/modules/base.py
princetonwong/python-sdk
f35181d97620e29d055498fca75f3702f3bb2449
[ "Apache-2.0" ]
null
null
null
thirdweb/modules/base.py
princetonwong/python-sdk
f35181d97620e29d055498fca75f3702f3bb2449
[ "Apache-2.0" ]
null
null
null
"""Base Module.""" from abc import ABC, abstractmethod from typing import Callable, Dict, List, Optional, Union, cast from eth_account.account import LocalAccount from thirdweb_web3 import Web3 from thirdweb_web3.types import TxReceipt from zero_ex.contract_wrappers import TxParams import json from ..abi.coin import ...
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0
0
1,068
0.165428
d291c41a3b15e20796ea46ca106a1298d83274c2
17,356
py
Python
data_util.py
shiyu-wangbyte/leadopt
ef289ab349a19ba1f8aa581638ef7e8e3810cb41
[ "Apache-2.0" ]
null
null
null
data_util.py
shiyu-wangbyte/leadopt
ef289ab349a19ba1f8aa581638ef7e8e3810cb41
[ "Apache-2.0" ]
null
null
null
data_util.py
shiyu-wangbyte/leadopt
ef289ab349a19ba1f8aa581638ef7e8e3810cb41
[ "Apache-2.0" ]
null
null
null
# Copyright 2021 Jacob Durrant # Licensed under the Apache License, Version 2.0 (the "License"); you may not # use this file except in compliance with the License. You may obtain a copy # of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, sof...
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0
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5,499
0.316836
d291cc8632d543ebd26c04ae26559da840755d11
4,181
py
Python
add_socket_response_event.py
Kur0den/kur0bot
d36722617bb4094bdf636779b20a799f9bd3b419
[ "MIT" ]
1
2021-09-09T11:17:17.000Z
2021-09-09T11:17:17.000Z
add_socket_response_event.py
Kur0den/kur0bot
d36722617bb4094bdf636779b20a799f9bd3b419
[ "MIT" ]
1
2021-09-18T15:46:59.000Z
2021-09-18T15:46:59.000Z
add_socket_response_event.py
Kur0den/kur0bot
d36722617bb4094bdf636779b20a799f9bd3b419
[ "MIT" ]
1
2021-09-09T02:34:17.000Z
2021-09-09T02:34:17.000Z
from discord.gateway import DiscordWebSocket, utils, _log, KeepAliveHandler, ReconnectWebSocket async def received_message(self, msg, /): if type(msg) is bytes: self._buffer.extend(msg) if len(msg) < 4 or msg[-4:] != b'\x00\x00\xff\xff': return msg = self._zlib.decompre...
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0
4,022
0.961971
758
0.181296
d2936347651280722332cf187a2ad771feb61ab8
2,207
py
Python
Image_detection_codes/Keras_training/test2.py
pasadyash/CitizenServiceApp
01a0389d70624f04f6df25c1eb842b3bbce652da
[ "MIT" ]
null
null
null
Image_detection_codes/Keras_training/test2.py
pasadyash/CitizenServiceApp
01a0389d70624f04f6df25c1eb842b3bbce652da
[ "MIT" ]
null
null
null
Image_detection_codes/Keras_training/test2.py
pasadyash/CitizenServiceApp
01a0389d70624f04f6df25c1eb842b3bbce652da
[ "MIT" ]
null
null
null
import numpy as np np.random.seed(123) # for reproducibility from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten from keras.layers import Convolution2D, MaxPooling2D from keras.utils import np_utils from dataset_pothole import pothole from keras.models import model_from_j...
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0
0
0
0
0
0
0
0
573
0.259628
d2945eb56ca24287c1bd0834d603839aee1fedac
2,094
py
Python
platform/web/api/device/models.py
JMSHDev/regent.dev
e4cedf04dd241ad00012735b543ee3447a8da8a2
[ "Apache-2.0" ]
1
2021-12-23T14:06:08.000Z
2021-12-23T14:06:08.000Z
platform/web/api/device/models.py
JMSHDev/regent.dev
e4cedf04dd241ad00012735b543ee3447a8da8a2
[ "Apache-2.0" ]
null
null
null
platform/web/api/device/models.py
JMSHDev/regent.dev
e4cedf04dd241ad00012735b543ee3447a8da8a2
[ "Apache-2.0" ]
1
2021-06-28T22:17:28.000Z
2021-06-28T22:17:28.000Z
import hashlib import random import string import logging from django.db import models LOG = logging.getLogger(__name__) class Device(models.Model): name = models.CharField(max_length=50, unique=True) customer = models.CharField(max_length=50) agent_status = models.CharField(max_length=10, default="off...
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0.935053
0
0
346
0.165234
0
0
94
0.04489
d294cefa293f8d84c96bacb7467d9cfe88246372
147
py
Python
armageddon/__init__.py
acse-ns1321/asteroid-impact-simulator
986c12ff1276e5d0547a4f760e1d2cb90fe4ba11
[ "MIT" ]
null
null
null
armageddon/__init__.py
acse-ns1321/asteroid-impact-simulator
986c12ff1276e5d0547a4f760e1d2cb90fe4ba11
[ "MIT" ]
null
null
null
armageddon/__init__.py
acse-ns1321/asteroid-impact-simulator
986c12ff1276e5d0547a4f760e1d2cb90fe4ba11
[ "MIT" ]
null
null
null
# flake8:NOQA """Python asteroid airburst calculator""" from .solver import * from .damage import * from .locator import * from .mapping import *
18.375
41
0.734694
0
0
0
0
0
0
0
0
54
0.367347
d294d257d8cdf140b519b1d91dd4b68639347768
8,235
py
Python
proxy_server/backend_services.py
lmanzurv/django_proxy_server
20304829ef1ddcbb281e1373d308e5fa826fcd39
[ "Apache-2.0" ]
11
2015-07-18T02:23:43.000Z
2021-11-15T11:43:21.000Z
proxy_server/backend_services.py
lmanzurv/django_proxy_server
20304829ef1ddcbb281e1373d308e5fa826fcd39
[ "Apache-2.0" ]
null
null
null
proxy_server/backend_services.py
lmanzurv/django_proxy_server
20304829ef1ddcbb281e1373d308e5fa826fcd39
[ "Apache-2.0" ]
5
2015-02-24T15:37:36.000Z
2021-10-10T16:42:22.000Z
from django.contrib.auth import SESSION_KEY from django.core.cache import cache from django.conf import settings from django.http import HttpResponse, HttpResponseServerError from proxy_server.response import AJAX_REQUEST import httplib, json, proxy_server def invoke_backend_service(method, function_path, json_data=di...
37.094595
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0.600364
0
0
0
0
0
0
0
0
800
0.097146
d294ed611a40faaaff54b7db50b237d6a8c768e7
1,645
py
Python
py/trawl_analyzer/TrawlSensorsDB_model.py
nwfsc-fram/pyFieldSoftware
477ba162b66ede2263693cda8c5a51d27eaa3b89
[ "MIT" ]
null
null
null
py/trawl_analyzer/TrawlSensorsDB_model.py
nwfsc-fram/pyFieldSoftware
477ba162b66ede2263693cda8c5a51d27eaa3b89
[ "MIT" ]
176
2019-11-22T17:44:55.000Z
2021-10-20T23:40:03.000Z
py/trawl_analyzer/TrawlSensorsDB_model.py
nwfsc-fram/pyFieldSoftware
477ba162b66ede2263693cda8c5a51d27eaa3b89
[ "MIT" ]
1
2021-05-07T01:06:32.000Z
2021-05-07T01:06:32.000Z
# from peewee import * from playhouse.apsw_ext import TextField, IntegerField, PrimaryKeyField from py.trawl_analyzer.Settings import SensorsModel as BaseModel # database = SqliteDatabase('data\clean_sensors.db', **{}) class UnknownField(object): def __init__(self, *_, **__): pass class EnviroNetRawFiles(Base...
38.255814
83
0.764134
1,413
0.858967
0
0
0
0
0
0
400
0.243161
d29572229651c45d1ad6870cb96992f7e8dc3c59
9,754
py
Python
src/statemachine.py
CEOAI-ABM/SIR-Modelling
02ab89d64040b09ddce820a1ecbbc0cfc9b13f29
[ "MIT" ]
1
2021-06-13T11:50:08.000Z
2021-06-13T11:50:08.000Z
src/statemachine.py
CEOAI-ABM/SIR-Modelling
02ab89d64040b09ddce820a1ecbbc0cfc9b13f29
[ "MIT" ]
null
null
null
src/statemachine.py
CEOAI-ABM/SIR-Modelling
02ab89d64040b09ddce820a1ecbbc0cfc9b13f29
[ "MIT" ]
null
null
null
import transitions from functools import partial # from transitions import transitions.Machine # TODO: whenever there is a state chage store the following # (DAY,function_called) -> Stored for every person for agent status, state and Testing state class AgentStatusA(object): """The Statemachine of the agent""" stat...
28.190751
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0.705454
9,491
0.973037
0
0
0
0
0
0
2,720
0.27886
d295e921737512140cabce35cb8da35469a21633
304
py
Python
hard-gists/5898352/snippet.py
jjhenkel/dockerizeme
eaa4fe5366f6b9adf74399eab01c712cacaeb279
[ "Apache-2.0" ]
21
2019-07-08T08:26:45.000Z
2022-01-24T23:53:25.000Z
hard-gists/5898352/snippet.py
jjhenkel/dockerizeme
eaa4fe5366f6b9adf74399eab01c712cacaeb279
[ "Apache-2.0" ]
5
2019-06-15T14:47:47.000Z
2022-02-26T05:02:56.000Z
hard-gists/5898352/snippet.py
jjhenkel/dockerizeme
eaa4fe5366f6b9adf74399eab01c712cacaeb279
[ "Apache-2.0" ]
17
2019-05-16T03:50:34.000Z
2021-01-14T14:35:12.000Z
import os import scipy.io.wavfile as wav # install lame # install bleeding edge scipy (needs new cython) fname = 'XC135672-Red-winged\ Blackbird1301.mp3' oname = 'temp.wav' cmd = 'lame --decode {0} {1}'.format( fname,oname ) os.system(cmd) data = wav.read(oname) # your code goes here print len(data[1])
25.333333
51
0.720395
0
0
0
0
0
0
0
0
156
0.513158
d29646348f53744d285a4ab6a2096da4edb810a8
2,612
py
Python
examples/home-assistant/custom_components/evacalor/config_flow.py
fredericvl/pyevacalor
37a3d96f867efffdec4457f11119977e6e887b8a
[ "Apache-2.0" ]
2
2020-10-25T15:42:03.000Z
2021-01-06T10:25:58.000Z
examples/home-assistant/custom_components/evacalor/config_flow.py
fredericvl/pyevacalor
37a3d96f867efffdec4457f11119977e6e887b8a
[ "Apache-2.0" ]
2
2021-01-06T09:24:58.000Z
2021-02-13T21:12:02.000Z
examples/home-assistant/custom_components/evacalor/config_flow.py
fredericvl/pyevacalor
37a3d96f867efffdec4457f11119977e6e887b8a
[ "Apache-2.0" ]
null
null
null
"""Config flow for Eva Calor.""" from collections import OrderedDict import logging import uuid from pyevacalor import ( # pylint: disable=redefined-builtin ConnectionError, Error as EvaCalorError, UnauthorizedError, evacalor, ) import voluptuous as vol from homeassistant import config_entries from h...
31.095238
87
0.616003
1,976
0.756508
0
0
0
0
1,520
0.58193
366
0.140123
d2965c42b4aa6f52d9c6e78125bcdb00950f4d9f
6,608
py
Python
library_samples/Python3/ocs_sample_library_preview/Dataview/Dataview.py
osi-awoodall/OSI-Samples-OCS
1995ccda20e4fe2ae66f3b67afbc1127d638a6fc
[ "Apache-2.0" ]
null
null
null
library_samples/Python3/ocs_sample_library_preview/Dataview/Dataview.py
osi-awoodall/OSI-Samples-OCS
1995ccda20e4fe2ae66f3b67afbc1127d638a6fc
[ "Apache-2.0" ]
null
null
null
library_samples/Python3/ocs_sample_library_preview/Dataview/Dataview.py
osi-awoodall/OSI-Samples-OCS
1995ccda20e4fe2ae66f3b67afbc1127d638a6fc
[ "Apache-2.0" ]
null
null
null
# Dataview.py # import json from .DataviewQuery import DataviewQuery from .DataviewMapping import DataviewMapping from .DataviewIndexConfig import DataviewIndexConfig from .DataviewGroupRule import DataviewGroupRule class Dataview(object): """ Dataview definition """ def __init__( self, ...
25.513514
87
0.575969
6,389
0.966858
0
0
4,111
0.622125
0
0
2,322
0.351392
d296cec19b3a1e77f406394741a977e6895ca59f
392
py
Python
PYTHON_Code/TestGUI.py
ROBO-BEV/BARISTO
0e87d79966efc111cc38c1a1cf22e2d8ee18c350
[ "CC-BY-3.0", "MIT" ]
8
2018-03-12T04:52:28.000Z
2021-05-19T19:37:01.000Z
PYTHON_Code/TestGUI.py
ROBO-BEV/BARISTO
0e87d79966efc111cc38c1a1cf22e2d8ee18c350
[ "CC-BY-3.0", "MIT" ]
null
null
null
PYTHON_Code/TestGUI.py
ROBO-BEV/BARISTO
0e87d79966efc111cc38c1a1cf22e2d8ee18c350
[ "CC-BY-3.0", "MIT" ]
1
2018-01-30T09:43:36.000Z
2018-01-30T09:43:36.000Z
from tkinter import * window0 = Tk() window0.geometry('960x540') #tk.iconbitmap(default='ROBO_BEV_LOGO.ico') window0.title("BARISTO") photo = PhotoImage(file="Page1.png") widget = Label(window0, image=photo) widget.photo = photo widget = Label(window0, text="10", fg="white", font=("Source Sans Pro",50)) #widget = L...
19.6
75
0.709184
0
0
0
0
0
0
0
0
146
0.372449
d297adc463629ff967a82e11d0f42bb013364af4
2,354
py
Python
handlers/play.py
AftahBagas/AlphaMusik
c8c3804a26ad393b6f666fecd4d3464727ce2544
[ "MIT" ]
null
null
null
handlers/play.py
AftahBagas/AlphaMusik
c8c3804a26ad393b6f666fecd4d3464727ce2544
[ "MIT" ]
null
null
null
handlers/play.py
AftahBagas/AlphaMusik
c8c3804a26ad393b6f666fecd4d3464727ce2544
[ "MIT" ]
1
2021-06-22T08:08:43.000Z
2021-06-22T08:08:43.000Z
from os import path from telethon import Client from telethon.types import Message, Voice from callsmusic import callsmusic, queues import converter from downloaders import youtube from config import BOT_NAME as bn, DURATION_LIMIT from helpers.filters import command, other_filters from helpers.decorators import err...
34.115942
116
0.658454
0
0
0
0
1,880
0.793249
1,819
0.767511
360
0.151899
d2992c7176a1b65595e782d6603b030801317e72
2,662
py
Python
Sindri/Properties.py
mrcsbrn/TCC_software
17a5335aed17d4740c3bbd0ef828b0fc5dcea1da
[ "MIT" ]
11
2019-10-17T02:01:51.000Z
2022-03-17T17:39:34.000Z
Sindri/Properties.py
mrcsbrn/TCC_software
17a5335aed17d4740c3bbd0ef828b0fc5dcea1da
[ "MIT" ]
2
2019-07-25T22:16:16.000Z
2020-03-28T01:59:59.000Z
Sindri/Properties.py
mrcsbrn/TCC_software
17a5335aed17d4740c3bbd0ef828b0fc5dcea1da
[ "MIT" ]
5
2019-07-15T18:19:36.000Z
2021-12-24T08:06:24.000Z
from __future__ import annotations from constants import DBL_EPSILON class DeltaProp(object): def __init__(self, cp: float, h: float, s: float, g: float, u: float, a: float): self.Cp = cp self.H = h self.S = s self.G = g self.U = u self.A = a def subtract(self...
24.422018
87
0.531555
2,583
0.970323
0
0
0
0
0
0
103
0.038693
d29a434df89a3b05d94919b3e887c98d5f6aef26
8,240
py
Python
algorithms/randcommuns.py
eXascaleInfolab/clubmark
5c329a5308a39d53f77db790a31d621245a7c693
[ "Apache-2.0" ]
14
2018-11-20T08:32:30.000Z
2022-03-14T02:46:35.000Z
algorithms/randcommuns.py
eXascaleInfolab/clubmark
5c329a5308a39d53f77db790a31d621245a7c693
[ "Apache-2.0" ]
null
null
null
algorithms/randcommuns.py
eXascaleInfolab/clubmark
5c329a5308a39d53f77db790a31d621245a7c693
[ "Apache-2.0" ]
1
2019-05-22T08:39:00.000Z
2019-05-22T08:39:00.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- """ :Brief: Produces rand disjoint communities (clusters) for the given network with sizes similar in the ground truth. :Description: Takes number of the resulting communities and their sizes from the specified groundtruth (actually any sample of the community structure, ...
40.392157
116
0.701942
884
0.107282
0
0
0
0
0
0
4,703
0.570752
d29d169f662bf82cfbfb0172089e264d38e0b3c3
17,578
py
Python
utils/save_atten.py
xiaomengyc/SPG
0006659c5be4c3451f8c9a188f1e91e9ff682fa9
[ "MIT" ]
152
2018-07-25T01:55:33.000Z
2022-02-02T15:16:09.000Z
utils/save_atten.py
xiaomengyc/SPG
0006659c5be4c3451f8c9a188f1e91e9ff682fa9
[ "MIT" ]
15
2018-09-13T06:35:16.000Z
2021-08-05T06:23:16.000Z
utils/save_atten.py
xiaomengyc/SPG
0006659c5be4c3451f8c9a188f1e91e9ff682fa9
[ "MIT" ]
27
2018-07-26T03:47:55.000Z
2021-04-05T08:06:41.000Z
import numpy as np import cv2 import os import torch import os import time from torchvision import models, transforms from torch.utils.data import DataLoader from torch.optim import SGD from torch.autograd import Variable idx2catename = {'voc20': ['aeroplane','bicycle','bird','boat','bottle','bus','car','cat','chair',...
42.458937
131
0.529867
15,973
0.908693
0
0
0
0
0
0
7,965
0.453123
d29d26d475e134ec64d93b0a0c67aac73b58249e
453
py
Python
integration/config/service_names.py
hawflau/serverless-application-model
d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2
[ "Apache-2.0" ]
null
null
null
integration/config/service_names.py
hawflau/serverless-application-model
d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2
[ "Apache-2.0" ]
1
2020-03-03T01:46:46.000Z
2020-03-03T01:46:46.000Z
integration/config/service_names.py
hawflau/serverless-application-model
d2cf4b7e23d26cdf677c564d53bb58e6a5b6cac2
[ "Apache-2.0" ]
null
null
null
COGNITO = "Cognito" SERVERLESS_REPO = "ServerlessRepo" MODE = "Mode" XRAY = "XRay" LAYERS = "Layers" HTTP_API = "HttpApi" IOT = "IoT" CODE_DEPLOY = "CodeDeploy" ARM = "ARM" GATEWAY_RESPONSES = "GatewayResponses" MSK = "MSK" KMS = "KMS" CWE_CWS_DLQ = "CweCwsDlq" CODE_SIGN = "CodeSign" MQ = "MQ" USAGE_PLANS = "UsagePlans...
19.695652
38
0.708609
0
0
0
0
0
0
0
0
199
0.439294
d29e1b642a0cdbe5b86c0d36bda20ce0cce1d92a
2,373
py
Python
tools/onnx_utilis/export_vfe_weight.py
neolixcn/OpenPCDet
32bae37db13711a4fb35ad2980068470bb6cee1c
[ "Apache-2.0" ]
null
null
null
tools/onnx_utilis/export_vfe_weight.py
neolixcn/OpenPCDet
32bae37db13711a4fb35ad2980068470bb6cee1c
[ "Apache-2.0" ]
null
null
null
tools/onnx_utilis/export_vfe_weight.py
neolixcn/OpenPCDet
32bae37db13711a4fb35ad2980068470bb6cee1c
[ "Apache-2.0" ]
null
null
null
import onnx import onnxruntime import torch import onnx.numpy_helper # added by huxi, load rpn config from pcdet.pointpillar_quantize_config import load_rpn_config_json # ======================================== config_dict = load_rpn_config_json.get_config() onnx_model_file = config_dict["vfe_onnx_file"] onnx_mode...
28.25
93
0.702908
0
0
0
0
0
0
0
0
321
0.135272
d29e58f5104bd6d4a19025c66f8dbd6cd3fc3f1a
1,825
py
Python
color_extractor/cluster.py
hcoura/color-extractor
a69fc4a9a8b7c90d292f954d289c84a38323eda6
[ "MIT" ]
276
2016-07-25T10:00:06.000Z
2022-03-10T16:56:26.000Z
color_extractor/cluster.py
hcoura/color-extractor
a69fc4a9a8b7c90d292f954d289c84a38323eda6
[ "MIT" ]
13
2017-05-25T12:45:30.000Z
2022-03-11T23:16:30.000Z
color_extractor/cluster.py
hcoura/color-extractor
a69fc4a9a8b7c90d292f954d289c84a38323eda6
[ "MIT" ]
74
2016-12-14T07:31:18.000Z
2022-03-12T18:36:57.000Z
from sklearn.cluster import KMeans from .exceptions import KMeansException from .task import Task class Cluster(Task): """ Use the K-Means algorithm to group pixels by clusters. The algorithm tries to determine the optimal number of clusters for the given pixels. """ def __init__(self, settings=N...
26.838235
78
0.572603
1,723
0.94411
0
0
256
0.140274
0
0
269
0.147397
d29e853085f1e22d6f5c45806ff223b5999daf1d
315
py
Python
notebooks/datasets.py
jweill-aws/jupyterlab-data-explorer
3db8eed9562f35d2b0e44370cf22f32ac9ffbc4d
[ "BSD-3-Clause" ]
173
2019-01-04T05:18:08.000Z
2022-03-28T11:15:30.000Z
notebooks/datasets.py
jweill-aws/jupyterlab-data-explorer
3db8eed9562f35d2b0e44370cf22f32ac9ffbc4d
[ "BSD-3-Clause" ]
115
2019-01-04T01:09:41.000Z
2022-03-24T01:07:00.000Z
notebooks/datasets.py
jweill-aws/jupyterlab-data-explorer
3db8eed9562f35d2b0e44370cf22f32ac9ffbc4d
[ "BSD-3-Clause" ]
34
2019-06-12T16:46:53.000Z
2022-02-01T08:41:40.000Z
# # @license BSD-3-Clause # # Copyright (c) 2019 Project Jupyter Contributors. # Distributed under the terms of the 3-Clause BSD License. import IPython.display import pandas def output_url(url): IPython.display.publish_display_data( {"application/x.jupyter.relative-dataset-urls+json": [url]} )
21
67
0.730159
0
0
0
0
0
0
0
0
183
0.580952
d29f3df5f35ab4781444eaf48243bf8b792bb433
1,154
py
Python
django_india/conf.py
k-mullapudi/django-india
662a5fb363ac4360b573f5864df65619f2794dc8
[ "MIT" ]
null
null
null
django_india/conf.py
k-mullapudi/django-india
662a5fb363ac4360b573f5864df65619f2794dc8
[ "MIT" ]
null
null
null
django_india/conf.py
k-mullapudi/django-india
662a5fb363ac4360b573f5864df65619f2794dc8
[ "MIT" ]
null
null
null
import django.conf url_bases = { 'geonames': { 'dump': 'http://download.geonames.org/export/dump/', 'zip': 'http://download.geonames.org/export/zip/', }, } india_country_code = 'IN' files = { 'state': { 'filename': '', 'urls': [ url_bases['geonames']['dump'] + ...
19.233333
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0.47747
411
0.356153
0
0
0
0
0
0
408
0.353553
d29f77fa5fac3eb65fe044b9f6c664cd6a9d69a3
1,588
py
Python
src/dao/evaluation_dao.py
Asconius/trading-bot
df544f058d12c5378a0f8c110e28d49d983e0393
[ "Apache-2.0" ]
2
2021-06-04T11:27:02.000Z
2021-12-19T03:24:51.000Z
src/dao/evaluation_dao.py
Asconius/trading-bot
df544f058d12c5378a0f8c110e28d49d983e0393
[ "Apache-2.0" ]
22
2020-08-24T05:16:11.000Z
2021-12-13T20:51:25.000Z
src/dao/evaluation_dao.py
Asconius/trading-bot
df544f058d12c5378a0f8c110e28d49d983e0393
[ "Apache-2.0" ]
null
null
null
from decimal import Decimal from typing import List from src.dao.dao import DAO from src.dto.attempt_dto import AttemptDTO from src.entity.evaluation_entity import EvaluationEntity from src.utils.utils import Utils class EvaluationDAO: @staticmethod def create(summation: Decimal, funds: str, attempt: Attempt...
40.717949
116
0.706549
1,369
0.862091
0
0
1,326
0.835013
0
0
0
0
d29fef12d764089bdcfe8679c802e9724d8f9325
1,031
py
Python
src/lib/others/info_gathering/finder/finding_comment.py
nahuelhm17/vault_scanner
574da226db5d274794d751d9d7959cd785bc9990
[ "MIT" ]
230
2019-01-10T07:43:01.000Z
2022-03-25T03:16:07.000Z
src/lib/others/info_gathering/finder/finding_comment.py
nahuelhm17/vault_scanner
574da226db5d274794d751d9d7959cd785bc9990
[ "MIT" ]
65
2018-11-18T12:48:27.000Z
2019-01-05T22:40:07.000Z
src/lib/others/info_gathering/finder/finding_comment.py
nahuelhm17/vault_scanner
574da226db5d274794d751d9d7959cd785bc9990
[ "MIT" ]
64
2019-01-16T11:56:18.000Z
2022-01-12T17:28:37.000Z
#! /usr/bin/python import requests import re from bs4 import BeautifulSoup import colors class FindingComments(object): def __init__(self, url): self.url = url self.comment_list = ['<!--(.*)-->'] self.found_comments = {} def get_soure_code(self): resp_text = requests.get(sel...
27.131579
69
0.596508
938
0.909796
0
0
0
0
0
0
68
0.065955
d2a2c147c06d327188733c71e9a83b70f75131b1
27
py
Python
micro-benchmark-key-errs/snippets/dicts/type_coercion/main.py
WenJinfeng/PyCG
b45e8e04fe697d8301cf27222a8f37646d69f168
[ "Apache-2.0" ]
121
2020-12-16T20:31:37.000Z
2022-03-21T20:32:43.000Z
micro-benchmark-key-errs/snippets/dicts/type_coercion/main.py
WenJinfeng/PyCG
b45e8e04fe697d8301cf27222a8f37646d69f168
[ "Apache-2.0" ]
24
2021-03-13T00:04:00.000Z
2022-03-21T17:28:11.000Z
micro-benchmark-key-errs/snippets/dicts/type_coercion/main.py
WenJinfeng/PyCG
b45e8e04fe697d8301cf27222a8f37646d69f168
[ "Apache-2.0" ]
19
2021-03-23T10:58:47.000Z
2022-03-24T19:46:50.000Z
d = {"1": "a"} d[1] d["1"]
6.75
14
0.259259
0
0
0
0
0
0
0
0
9
0.333333
d2a35e41a7de7ed1c211d10b17e2843c3afc87ce
2,753
py
Python
scripts/link_assignment.py
metagenomics/antibio
ac79c64417c749ed40263fc97d22498097f2e9b9
[ "MIT" ]
4
2015-11-03T22:00:33.000Z
2017-10-21T06:57:35.000Z
scripts/link_assignment.py
metagenomics/antibio
ac79c64417c749ed40263fc97d22498097f2e9b9
[ "MIT" ]
49
2015-09-28T11:32:38.000Z
2016-04-11T14:05:00.000Z
scripts/link_assignment.py
metagenomics/antibio
ac79c64417c749ed40263fc97d22498097f2e9b9
[ "MIT" ]
2
2018-08-27T15:15:45.000Z
2020-03-31T01:50:48.000Z
#!/usr/bin/python # This program revises the existing overview file. # If a keyword is found in an Abstract of an accession of a gene, the url of the abstract is added to the overview file # The revised overview.txt is created in the same directory of the old one and named overview_new.txt """ Usage: link_assignment.py...
35.753247
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0.694878
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0
0
0
0
0
0
0
884
0.321104
d2a6ca53031a949367ecbf3f9d3bfdb61563f697
5,421
py
Python
app/views.py
LauretteMongina/Instagram-clone
617135bcebcf6b73f2de7af73a66c177718d338c
[ "MIT" ]
null
null
null
app/views.py
LauretteMongina/Instagram-clone
617135bcebcf6b73f2de7af73a66c177718d338c
[ "MIT" ]
null
null
null
app/views.py
LauretteMongina/Instagram-clone
617135bcebcf6b73f2de7af73a66c177718d338c
[ "MIT" ]
null
null
null
from django.shortcuts import render,redirect,get_object_or_404 from django.contrib.auth.decorators import login_required from .models import * import cloudinary import cloudinary.uploader import cloudinary.api from django.http import HttpResponseRedirect, JsonResponse from .forms import RegistrationForm, UpdateUserForm...
34.310127
98
0.642317
0
0
0
0
4,009
0.739531
0
0
786
0.144992
d2a7333fba6a0b271b7f3ddd6746591c934cb750
1,557
py
Python
at_export_config.py
Fmstrat/FreeCAD-ArchTextures
e3af6198ea5e07848602a3b8ba01ebab2335d6b1
[ "MIT" ]
21
2018-11-16T05:56:31.000Z
2021-11-09T13:21:53.000Z
at_export_config.py
Fmstrat/FreeCAD-ArchTextures
e3af6198ea5e07848602a3b8ba01ebab2335d6b1
[ "MIT" ]
39
2018-10-02T18:16:18.000Z
2022-02-11T13:45:50.000Z
at_export_config.py
Fmstrat/FreeCAD-ArchTextures
e3af6198ea5e07848602a3b8ba01ebab2335d6b1
[ "MIT" ]
10
2019-07-15T16:34:51.000Z
2022-01-25T23:57:03.000Z
import FreeCAD, FreeCADGui from arch_texture_utils.resource_utils import iconPath import arch_texture_utils.qtutils as qtutils from arch_texture_utils.selection_utils import findSelectedTextureConfig class ExportTextureConfigCommand: toolbarName = 'ArchTexture_Tools' commandName = 'Export_Config' def Get...
33.12766
122
0.689788
1,014
0.651252
0
0
0
0
0
0
399
0.256262
d2a75f44feb7064f817bce0160b3db28ad77852c
597
py
Python
barcode/charsets/ean.py
Azd325/python-barcode
b41b1d5d479fb0ad3290a0a6235a8d3203d34ee9
[ "MIT" ]
null
null
null
barcode/charsets/ean.py
Azd325/python-barcode
b41b1d5d479fb0ad3290a0a6235a8d3203d34ee9
[ "MIT" ]
null
null
null
barcode/charsets/ean.py
Azd325/python-barcode
b41b1d5d479fb0ad3290a0a6235a8d3203d34ee9
[ "MIT" ]
null
null
null
EDGE = '101' MIDDLE = '01010' CODES = { 'A': ( '0001101', '0011001', '0010011', '0111101', '0100011', '0110001', '0101111', '0111011', '0110111', '0001011' ), 'B': ( '0100111', '0110011', '0011011', '0100001', '0011101', '0111001', '0000101', '0010001', '0001001', '0010111' ...
28.428571
73
0.515913
0
0
0
0
0
0
0
0
371
0.621441
d2a835bc55a30790d6234339c5e466df15a50aed
2,787
py
Python
Sushant_Boosting/code.py
sushant-bahekar/ga-learner-dsmp-repo
1087bec60382c2b3156f26cb87629a3b931fc41f
[ "MIT" ]
null
null
null
Sushant_Boosting/code.py
sushant-bahekar/ga-learner-dsmp-repo
1087bec60382c2b3156f26cb87629a3b931fc41f
[ "MIT" ]
null
null
null
Sushant_Boosting/code.py
sushant-bahekar/ga-learner-dsmp-repo
1087bec60382c2b3156f26cb87629a3b931fc41f
[ "MIT" ]
null
null
null
# -------------- import pandas as pd from sklearn.model_selection import train_test_split #path - Path of file # Code starts here df = pd.read_csv(path) df.head(5) X = df.drop(['customerID','Churn'],1) y = df['Churn'] X_train,X_test,y_train,y_test = train_test_split(X, y, test_size = 0.3, random_state = 0) # --...
24.663717
89
0.742375
0
0
0
0
0
0
0
0
737
0.264442
d2a9213337ceeb22964f6608d3d20eb1d939ae74
16,566
py
Python
slsgd.py
xcgoner/ecml2019-slsgd
e4856b2015d4c7c39e28743dab2222ef8e0131fa
[ "MIT" ]
3
2019-09-10T15:46:04.000Z
2020-09-21T17:53:10.000Z
slsgd.py
xcgoner/ecml2019-slsgd
e4856b2015d4c7c39e28743dab2222ef8e0131fa
[ "MIT" ]
null
null
null
slsgd.py
xcgoner/ecml2019-slsgd
e4856b2015d4c7c39e28743dab2222ef8e0131fa
[ "MIT" ]
null
null
null
import argparse, time, logging, os, math, random os.environ["MXNET_USE_OPERATOR_TUNING"] = "0" import numpy as np from scipy import stats import mxnet as mx from mxnet import gluon, nd from mxnet import autograd as ag from mxnet.gluon import nn from mxnet.gluon.data.vision import transforms from gluoncv.model_zoo im...
40.306569
253
0.650247
0
0
0
0
0
0
0
0
3,150
0.190148
d2a9e60639815c6fa23b7d5054d4eac994971146
59,644
py
Python
predictor.py
MIC-DKFZ/DetectionAndRegression
40f3cb92ec6447767bd85b62a015b0d50e32ad26
[ "Apache-2.0" ]
40
2019-09-24T08:11:35.000Z
2022-02-23T13:49:01.000Z
predictor.py
MIC-DKFZ/MedicalDetectionRegression
40f3cb92ec6447767bd85b62a015b0d50e32ad26
[ "Apache-2.0" ]
13
2019-11-04T10:52:40.000Z
2022-03-11T23:57:14.000Z
predictor.py
MIC-DKFZ/MedicalDetectionRegression
40f3cb92ec6447767bd85b62a015b0d50e32ad26
[ "Apache-2.0" ]
22
2019-08-28T15:32:25.000Z
2022-02-18T11:27:30.000Z
#!/usr/bin/env python # Copyright 2019 Division of Medical Image Computing, German Cancer Research Center (DKFZ). # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org...
59.229394
192
0.598803
37,716
0.632352
0
0
0
0
0
0
23,311
0.390836
d2aa2e4deaca6a1a85b89b1e9c89d89fa5c4d8f5
424
py
Python
archive/jonesboro/__init__.py
jayktee/scrapers-us-municipal
ff52a331e91cb590a3eda7db6c688d75b77acacb
[ "MIT" ]
67
2015-04-28T19:28:18.000Z
2022-01-31T03:27:17.000Z
archive/jonesboro/__init__.py
jayktee/scrapers-us-municipal
ff52a331e91cb590a3eda7db6c688d75b77acacb
[ "MIT" ]
202
2015-01-15T18:43:12.000Z
2021-11-23T15:09:10.000Z
archive/jonesboro/__init__.py
jayktee/scrapers-us-municipal
ff52a331e91cb590a3eda7db6c688d75b77acacb
[ "MIT" ]
54
2015-01-27T03:15:45.000Z
2021-09-10T19:35:32.000Z
from pupa.scrape import Jurisdiction from legistar.ext.pupa import LegistarPeopleScraper class Jonesboro(Jurisdiction): division_id = 'ocd-division/country:us/state:ar/place:jonesboro' jurisdiction_id = 'ocd-jurisdiction/country:us/state:ar/place:jonesboro/government' name = 'Jonesboro City Council' ...
28.266667
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0.735849
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0.783019
0
0
0
0
0
0
179
0.42217
d2aa498a5dc13b5e44bb5a53742aa0908d8d79da
2,766
py
Python
src/config.py
La-tale/MessyTable
42ae08294f1a576d2477a4b4c12b2aec047c2ba9
[ "MIT" ]
32
2020-07-13T04:30:00.000Z
2022-03-17T12:04:32.000Z
src/config.py
La-tale/MessyTable
42ae08294f1a576d2477a4b4c12b2aec047c2ba9
[ "MIT" ]
12
2020-08-31T02:58:37.000Z
2022-03-26T04:05:27.000Z
src/config.py
La-tale/MessyTable
42ae08294f1a576d2477a4b4c12b2aec047c2ba9
[ "MIT" ]
8
2020-07-27T05:20:33.000Z
2022-02-04T06:58:37.000Z
import yaml import os def parse_config(args): """ prepare configs """ file_dir = os.path.dirname(os.path.realpath('__file__')) messytable_dir = os.path.realpath(os.path.join(file_dir, '..')) config_pathname = os.path.join(messytable_dir,'models',args.config_dir,'train.yaml') config = yaml....
56.44898
181
0.713304
0
0
0
0
0
0
0
0
1,130
0.408532
d2ab49c4b3562bad12874570d0c5751dda4cf3e6
1,194
py
Python
tests/settings.py
josemarimanio/django-adminlte2-templates
d39ab5eaec674c4725015fe43fc93e74dce78a6e
[ "MIT" ]
10
2020-03-21T10:50:11.000Z
2022-03-04T08:36:43.000Z
tests/settings.py
josemarimanio/django-adminlte2-templates
d39ab5eaec674c4725015fe43fc93e74dce78a6e
[ "MIT" ]
6
2020-06-06T08:48:29.000Z
2021-06-10T18:49:35.000Z
tests/settings.py
josemarimanio/django-adminlte2-templates
d39ab5eaec674c4725015fe43fc93e74dce78a6e
[ "MIT" ]
1
2021-09-14T02:00:43.000Z
2021-09-14T02:00:43.000Z
import os BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) SECRET_KEY = '!t_(11ght0&nmb&$tf4to=gdg&u$!hsm3@)c6dzp=zdc*c9zci' # nosec INSTALLED_APPS = [ 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'adminlte2_templ...
23.88
74
0.629816
0
0
0
0
0
0
0
0
675
0.565327
d2ae04ea58cc84694d33370988510f0b8bdcadb9
2,658
py
Python
two-variables-function-fitting/fxy_gen.py
ettoremessina/fitting-with-mlp-using-tensorflow
50303c7161521f690c37b80a72a281129052365b
[ "MIT" ]
9
2020-03-21T08:45:28.000Z
2021-11-30T02:49:41.000Z
two-variables-function-fitting/fxy_gen.py
ettoremessina/fitting-with-mlp-using-tensorflow
50303c7161521f690c37b80a72a281129052365b
[ "MIT" ]
null
null
null
two-variables-function-fitting/fxy_gen.py
ettoremessina/fitting-with-mlp-using-tensorflow
50303c7161521f690c37b80a72a281129052365b
[ "MIT" ]
3
2020-04-08T15:35:03.000Z
2022-03-22T02:19:02.000Z
import argparse import numpy as np import csv if __name__ == "__main__": parser = argparse.ArgumentParser(description='fxy_gen.py generates a synthetic dataset file calling a two-variables real function on a rectangle') parser.add_argument('--dsout', type=str, d...
37.971429
150
0.482318
0
0
0
0
0
0
0
0
551
0.207299
d2aee573a11ac0e4ec731ba7feda47d776f90ea2
995
py
Python
custom/icds_reports/dashboard_utils.py
tstalka/commcare-hq
902412b0f97ba0daac173fe284f3adc4c01bcd76
[ "BSD-3-Clause" ]
null
null
null
custom/icds_reports/dashboard_utils.py
tstalka/commcare-hq
902412b0f97ba0daac173fe284f3adc4c01bcd76
[ "BSD-3-Clause" ]
null
null
null
custom/icds_reports/dashboard_utils.py
tstalka/commcare-hq
902412b0f97ba0daac173fe284f3adc4c01bcd76
[ "BSD-3-Clause" ]
null
null
null
from corehq.apps.locations.util import location_hierarchy_config from custom.icds_reports.utils import icds_pre_release_features def get_dashboard_template_context(domain, couch_user): context = {} context['location_hierarchy'] = location_hierarchy_config(domain) context['user_location_id'] = couch_user.g...
34.310345
78
0.729648
0
0
0
0
0
0
0
0
225
0.226131
d2af35f5ecd1284185b97cd7fd48a1dabdbf319d
1,714
py
Python
data_input.py
zpcore/OnePass
fc102fae172c617535d4661bfa99a0302cbe09db
[ "MIT" ]
null
null
null
data_input.py
zpcore/OnePass
fc102fae172c617535d4661bfa99a0302cbe09db
[ "MIT" ]
null
null
null
data_input.py
zpcore/OnePass
fc102fae172c617535d4661bfa99a0302cbe09db
[ "MIT" ]
null
null
null
import json import string, sys from random import * class Token: def __init__(self): self.company, self.website, self.email, self.username, self.password = None, None, None, None, None def get_input(self): while(self.company in (None,'')): self.company = input('Account Association:') if(self.company in (N...
32.339623
101
0.656943
1,584
0.924154
0
0
0
0
0
0
586
0.34189
d2af5783fc08617f08a4edb9dc33a39579f11d65
1,401
py
Python
examples/python/test_dict.py
SmartEconomyWorkshop/workshop
5961dcc8832f60b3a0407cb9a8361ba5485ac280
[ "MIT" ]
79
2017-10-22T03:35:06.000Z
2021-12-02T10:28:06.000Z
examples/python/test_dict.py
SmartEconomyWorkshop/workshop
5961dcc8832f60b3a0407cb9a8361ba5485ac280
[ "MIT" ]
122
2017-10-19T12:34:08.000Z
2020-08-20T12:38:17.000Z
examples/python/test_dict.py
SmartEconomyWorkshop/workshop
5961dcc8832f60b3a0407cb9a8361ba5485ac280
[ "MIT" ]
76
2017-10-19T05:09:55.000Z
2020-12-08T12:03:59.000Z
from boa_test.tests.boa_test import BoaTest from boa.compiler import Compiler from neo.Settings import settings from neo.Prompt.Commands.BuildNRun import TestBuild class TestContract(BoaTest): def test_dict1(self): output = Compiler.instance().load('%s/boa_test/example/DictTest1.py' % TestContract.dirna...
36.868421
108
0.666667
1,234
0.880799
0
0
0
0
0
0
120
0.085653
d2b08bd5689396a0415385c35a4d92cedae61e22
520
py
Python
deployment_classifier/setup.py
m-santh/VayuAnukulani
d1b881ac6268c24761dc0ef6db296d7e5ee1a22e
[ "MIT" ]
1
2021-04-19T17:04:03.000Z
2021-04-19T17:04:03.000Z
deployment_classifier/setup.py
m-santh/VayuAnukulani
d1b881ac6268c24761dc0ef6db296d7e5ee1a22e
[ "MIT" ]
18
2020-01-28T22:36:26.000Z
2020-07-28T17:01:35.000Z
deployment_classifier/setup.py
m-santh/VayuAnukulani
d1b881ac6268c24761dc0ef6db296d7e5ee1a22e
[ "MIT" ]
3
2019-04-01T10:33:20.000Z
2020-10-23T23:29:09.000Z
from setuptools import find_packages from setuptools import setup REQUIRED_PACKAGES = ['tensorflow==1.8.0','pandas==0.23.1','setuptools==38.7.0','numpy==1.14.1','Keras==2.1.4','scikit_learn==0.19.1','h5py'] setup( name='classifier', version='0.1', install_requires=REQUIRED_PACKAGES, packages=find_pack...
28.888889
140
0.701923
0
0
0
0
0
0
0
0
205
0.394231
d2b08ef7b1d20d9d85caa8e8727b92065aef39a2
1,023
py
Python
day5.py
zsmoore/Advent-Of-Code-2017
895a7fbaa8b8b82a338dac967bccbf97b2092b20
[ "MIT" ]
null
null
null
day5.py
zsmoore/Advent-Of-Code-2017
895a7fbaa8b8b82a338dac967bccbf97b2092b20
[ "MIT" ]
null
null
null
day5.py
zsmoore/Advent-Of-Code-2017
895a7fbaa8b8b82a338dac967bccbf97b2092b20
[ "MIT" ]
null
null
null
import sys import copy def main(): in_file = open(sys.argv[1], 'r') jumps = [] for line in in_file.readlines(): jumps.append(int(line.strip())) #print(compute_exit(jumps)) print(compute_exit2(jumps)) def compute_exit(jump_list): current_ind = 0 step_num = 0 while True: ...
22.23913
60
0.567937
0
0
0
0
0
0
0
0
40
0.039101
d2b26b4fc46e989fc34f786c463f49d76b84289c
4,949
py
Python
pycudasirecon/_recon_params.py
tlambert03/pycudasirecon
17ca242b1cfed14216d97df480ca2c7f3471d770
[ "MIT" ]
2
2021-06-09T15:35:50.000Z
2021-06-10T05:33:11.000Z
pycudasirecon/_recon_params.py
tlambert03/pycudasirecon
17ca242b1cfed14216d97df480ca2c7f3471d770
[ "MIT" ]
null
null
null
pycudasirecon/_recon_params.py
tlambert03/pycudasirecon
17ca242b1cfed14216d97df480ca2c7f3471d770
[ "MIT" ]
null
null
null
import os from contextlib import contextmanager from tempfile import NamedTemporaryFile from typing import Optional, Sequence from pydantic import BaseModel, Field, FilePath @contextmanager def temp_config(**kwargs): """A context manager that creates a temporary config file for SIMReconstructor. `**kwargs` ...
40.235772
88
0.658921
4,336
0.876137
416
0.084057
432
0.08729
0
0
1,884
0.380683
d2b2f379a4dedf2bd69de6e708c00763f4c5952f
4,098
py
Python
tesseract_converters/tesseract_to_sa_converter.py
superannotateai/annotateonline-input-converters
753211f48676d06718bb2d32501ba1df3ace9121
[ "Apache-2.0" ]
10
2020-04-30T08:36:08.000Z
2021-02-27T21:46:45.000Z
tesseract_converters/tesseract_to_sa_converter.py
superannotateai/input_converters
753211f48676d06718bb2d32501ba1df3ace9121
[ "Apache-2.0" ]
5
2020-03-27T07:16:36.000Z
2020-07-06T04:45:47.000Z
tesseract_converters/tesseract_to_sa_converter.py
superannotateai/annotateonline-input-converters
753211f48676d06718bb2d32501ba1df3ace9121
[ "Apache-2.0" ]
2
2020-06-26T20:02:10.000Z
2020-06-30T20:56:04.000Z
import os import json import argparse def main(): parser = argparse.ArgumentParser() parser.add_argument( '--input', help='Path to input files or folder\ with tesseract dict format.\ File name structure \ [IMAGE_NAME]___te...
32.784
80
0.476086
0
0
0
0
0
0
0
0
868
0.211811
d2b3079900df546aeac436f737e69c681f72b12c
24,525
py
Python
fhirclient/r4models/contract_tests.py
cspears-mitre/CapStatement
2390566ed75d420e0615e3a0aacb77e8c030fdcc
[ "Apache-2.0" ]
1
2021-12-24T11:14:38.000Z
2021-12-24T11:14:38.000Z
fhirclient/r4models/contract_tests.py
cspears-mitre/CapStatement
2390566ed75d420e0615e3a0aacb77e8c030fdcc
[ "Apache-2.0" ]
null
null
null
fhirclient/r4models/contract_tests.py
cspears-mitre/CapStatement
2390566ed75d420e0615e3a0aacb77e8c030fdcc
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 3.6.0-bd605d07 on 2018-12-20. # 2018, SMART Health IT. import os import io import unittest import json from . import contract from .fhirdate import FHIRDate class ContractTests(unittest.TestCase): def instantiate_from(self, filename): ...
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6,650
0.271152
d2b34796cb7b21344e2370533fa5aa6227ece2be
9,978
py
Python
evaluation/evaluation.py
Ennosigaeon/xautoml
6e49ee8b2ffb6d19dcfd9cbe8b3397416c9b5ded
[ "BSD-3-Clause" ]
4
2022-02-27T08:54:08.000Z
2022-03-30T21:19:29.000Z
evaluation/evaluation.py
Ennosigaeon/xautoml
6e49ee8b2ffb6d19dcfd9cbe8b3397416c9b5ded
[ "BSD-3-Clause" ]
1
2022-02-28T09:41:00.000Z
2022-03-02T07:44:17.000Z
evaluation/evaluation.py
Ennosigaeon/xautoml
6e49ee8b2ffb6d19dcfd9cbe8b3397416c9b5ded
[ "BSD-3-Clause" ]
2
2022-03-01T00:38:09.000Z
2022-03-21T09:38:49.000Z
import math import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from scipy.stats import ttest_ind from sklearn.preprocessing import LabelEncoder def load_data(): questionnaire = pd.read_excel('XAutoML.xlsx') encoder = LabelEncoder() encoder.classes_ = np.array([...
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2,948
0.29545
d2b462f25f6094199e7adc2a1e6de5c3e66fd2f5
4,941
py
Python
matplotlib/tutorials_python/colors/colors.py
gottaegbert/penter
8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d
[ "MIT" ]
13
2020-01-04T07:37:38.000Z
2021-08-31T05:19:58.000Z
matplotlib/tutorials_python/colors/colors.py
gottaegbert/penter
8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d
[ "MIT" ]
3
2020-06-05T22:42:53.000Z
2020-08-24T07:18:54.000Z
matplotlib/tutorials_python/colors/colors.py
gottaegbert/penter
8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d
[ "MIT" ]
9
2020-10-19T04:53:06.000Z
2021-08-31T05:20:01.000Z
""" ***************** Specifying Colors ***************** Matplotlib recognizes the following formats to specify a color: * an RGB or RGBA (red, green, blue, alpha) tuple of float values in closed interval ``[0, 1]`` (e.g., ``(0.1, 0.2, 0.5)`` or ``(0.1, 0.2, 0.5, 0.3)``); * a hex RGB or RGBA string (e.g., ``'#0f0f...
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0
0
3,789
0.766849
d2b6b250831a7174cf7989d9fc42a91268a025cd
1,313
py
Python
12-listComprehensions.py
pgiardiniere/notes-WhirlwindTourOfPython
10f483ea4452f0a45f2103886992fd77c2f3ac7c
[ "CC0-1.0" ]
null
null
null
12-listComprehensions.py
pgiardiniere/notes-WhirlwindTourOfPython
10f483ea4452f0a45f2103886992fd77c2f3ac7c
[ "CC0-1.0" ]
null
null
null
12-listComprehensions.py
pgiardiniere/notes-WhirlwindTourOfPython
10f483ea4452f0a45f2103886992fd77c2f3ac7c
[ "CC0-1.0" ]
null
null
null
# List Comprehensions ######################### ### Basic List Comprehensions ######################### # allow us to circumvent constructing lists with for loops l = [] # The Old Way for n in range(12): l.append(n**2) [n ** 2 for n in range(12)] # Comprehension way # General Syntax: # [ ...
26.795918
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0
789
0.6
d2b6cbdba4cdbf4de3ed032d08f889932f594f92
1,515
py
Python
src/chemical_roles/export/cli.py
bgyori/chemical-roles
31a917e911075e3be7eea509e143d3ff48e942cc
[ "MIT" ]
5
2021-02-05T01:27:53.000Z
2021-07-12T15:47:08.000Z
src/chemical_roles/export/cli.py
bgyori/chemical-roles
31a917e911075e3be7eea509e143d3ff48e942cc
[ "MIT" ]
8
2019-10-10T13:02:18.000Z
2020-05-11T18:41:56.000Z
src/chemical_roles/export/cli.py
bgyori/chemical-roles
31a917e911075e3be7eea509e143d3ff48e942cc
[ "MIT" ]
5
2020-06-07T13:11:34.000Z
2021-07-12T14:24:01.000Z
# -*- coding: utf-8 -*- """CLI for Chemical Roles exporters.""" import os import click from ..constants import DATA @click.group() def export(): """Export the database.""" @export.command(name='all') @click.pass_context def export_all(ctx): """Export all.""" ctx.invoke(summary) ctx.invoke(obo) ...
21.041667
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0
1,272
0.839604
0
0
335
0.221122
d2b7475246a09fa72d42e65c0defb8588ba3890e
4,681
py
Python
gdsfactory/geometry/write_drc.py
jorgepadilla19/gdsfactory
68e1c18257a75d4418279851baea417c8899a165
[ "MIT" ]
42
2020-05-25T09:33:45.000Z
2022-03-29T03:41:19.000Z
gdsfactory/geometry/write_drc.py
jorgepadilla19/gdsfactory
68e1c18257a75d4418279851baea417c8899a165
[ "MIT" ]
133
2020-05-28T18:29:04.000Z
2022-03-31T22:21:42.000Z
gdsfactory/geometry/write_drc.py
jorgepadilla19/gdsfactory
68e1c18257a75d4418279851baea417c8899a165
[ "MIT" ]
17
2020-06-30T07:07:50.000Z
2022-03-17T15:45:27.000Z
"""Write DRC rule decks in klayout. TODO: - add min area - define derived layers (composed rules) """ import pathlib from dataclasses import asdict, is_dataclass from typing import List, Optional try: from typing import Literal except ImportError: from typing_extensions import Literal from gdsfactory.confi...
26.902299
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0.654134
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0
0
0
0
0
0
2,472
0.528092
d2b75bb3697ff16713aa871c5e493e77fa916f5c
1,620
py
Python
virtus/core/migrations/0004_auto_20180417_1625.py
eltonjncorreia/gerenciar-dados-virtus
b8e1b8caa152b18221046f6841761d805b232268
[ "MIT" ]
null
null
null
virtus/core/migrations/0004_auto_20180417_1625.py
eltonjncorreia/gerenciar-dados-virtus
b8e1b8caa152b18221046f6841761d805b232268
[ "MIT" ]
null
null
null
virtus/core/migrations/0004_auto_20180417_1625.py
eltonjncorreia/gerenciar-dados-virtus
b8e1b8caa152b18221046f6841761d805b232268
[ "MIT" ]
null
null
null
# Generated by Django 2.0.4 on 2018-04-17 19:25 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0003_auto_20180417_1613'), ] operations = [ migrations.CreateModel( name='Item', fields=[ ('...
38.571429
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0.942699
0
0
0
0
0
0
496
0.305607
d2b7ebb7c7ccc1338b94c19d7637e3ceac872b46
2,173
py
Python
image_demo.py
a888999a/yolov3fusion1
3659898aee34a351e95ea545236b8bc682901498
[ "MIT" ]
7
2020-09-23T10:37:17.000Z
2021-12-26T00:23:02.000Z
image_demo.py
a888999a/yolov3fusion1
3659898aee34a351e95ea545236b8bc682901498
[ "MIT" ]
null
null
null
image_demo.py
a888999a/yolov3fusion1
3659898aee34a351e95ea545236b8bc682901498
[ "MIT" ]
null
null
null
#! /usr/bin/env python # coding=utf-8 #================================================================ # Copyright (C) 2019 * Ltd. All rights reserved. # # Editor : VIM # File name : image_demo.py # Author : YunYang1994 # Created date: 2019-01-20 16:06:06 # Description : # #====================...
35.048387
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0
0
0
625
0.287621
d2b930c9508039d505766f1d70318392c9baf277
7,090
py
Python
Sensor/main.py
mahsahadian/EdgeBenchmarkTool
cafddb2eb66732da0bff8f26107788e3c93fbe2f
[ "MIT" ]
null
null
null
Sensor/main.py
mahsahadian/EdgeBenchmarkTool
cafddb2eb66732da0bff8f26107788e3c93fbe2f
[ "MIT" ]
null
null
null
Sensor/main.py
mahsahadian/EdgeBenchmarkTool
cafddb2eb66732da0bff8f26107788e3c93fbe2f
[ "MIT" ]
2
2022-01-31T01:55:56.000Z
2022-02-01T01:43:20.000Z
import cv2 from datetime import * import time import logging import base64 import sys import os import shutil import paho.mqtt.client as mqtt from influxdb import InfluxDBClient import datetime import sys import re from typing import NamedTuple import json from dotenv import load_dotenv load_dotenv("sensor-variab...
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0.491537
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0
0
2,360
0.332863
d2b975627d7b7c61820ad7bec967dad5b7b1e8aa
4,511
py
Python
oxide/plugins/other/StartupItems.py
john-clark/rust-oxide-umod
56feca04f96d8a43a1b56e080fc81d526f7471c3
[ "MIT" ]
13
2019-05-13T08:03:50.000Z
2022-02-06T16:44:35.000Z
oxide/plugins/other/StartupItems.py
john-clark/rust-oxide-umod
56feca04f96d8a43a1b56e080fc81d526f7471c3
[ "MIT" ]
null
null
null
oxide/plugins/other/StartupItems.py
john-clark/rust-oxide-umod
56feca04f96d8a43a1b56e080fc81d526f7471c3
[ "MIT" ]
8
2019-12-12T15:48:03.000Z
2021-12-24T17:04:45.000Z
# Note: # I add an underscore at the biginning of the variable name for example: "_variable" to prevent # conflicts with build-in variables from Oxide. # Use to manage the player's inventory. import ItemManager # Use to get player's information. import BasePlayer # The plug-in name should be the same as the ...
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0.570162
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0.923077
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0
0
0
0
0
2,366
0.524496
d2bbabe21477b77848cbfcaba239a66c8fe04262
1,043
py
Python
error_handler.py
jrg1381/sm_asr_console
47c4090075deaaa7f58e9a092423a58bc7b0a30f
[ "MIT" ]
2
2019-08-07T11:08:06.000Z
2021-01-20T11:28:37.000Z
error_handler.py
jrg1381/sm_asr_console
47c4090075deaaa7f58e9a092423a58bc7b0a30f
[ "MIT" ]
null
null
null
error_handler.py
jrg1381/sm_asr_console
47c4090075deaaa7f58e9a092423a58bc7b0a30f
[ "MIT" ]
null
null
null
# encoding: utf-8 """ Parameterized decorator for catching errors and displaying them in an error popup """ from enum import Enum import npyscreen class DialogType(Enum): """ Enum defining the type of dialog. CONFIRM - the dialog waits until the user clicks OK BRIEF - the dialog appears for a few sec...
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0.262704
0
0
0
0
0
0
553
0.530201
d2bbf8bdae1a8922b42a68b17b2aafcf8fd38f67
13,043
py
Python
parlai/tasks/taskmaster2/agents.py
min942773/parlai_wandb
1d9ba1a0df2199d0247cee8c4929a2598ac7e41a
[ "MIT" ]
2
2017-09-20T21:49:51.000Z
2018-08-12T06:58:10.000Z
parlai/tasks/taskmaster2/agents.py
min942773/parlai_wandb
1d9ba1a0df2199d0247cee8c4929a2598ac7e41a
[ "MIT" ]
7
2021-01-12T01:07:03.000Z
2022-03-12T00:50:45.000Z
parlai/tasks/taskmaster2/agents.py
min942773/parlai_wandb
1d9ba1a0df2199d0247cee8c4929a2598ac7e41a
[ "MIT" ]
1
2021-01-07T11:45:03.000Z
2021-01-07T11:45:03.000Z
#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. """ Taskmaster-2 implementation for ParlAI. No official train/valid/test splits are available as of 2020-05-18, so we m...
35.734247
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0.521966
12,004
0.92034
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0.282834
839
0.064326
0
0
2,907
0.222878
d2bc823500d7e835a13076bd5554f0f404893ff4
243
py
Python
jmeter_api/timers/__init__.py
dashawn888/jmeter_api
1ab5b02f3a7c8ad1b84fc50db4fe1fc2fa7c91bd
[ "Apache-2.0" ]
11
2020-03-22T13:30:21.000Z
2021-12-25T06:23:44.000Z
jmeter_api/timers/__init__.py
dashawn888/jmeter_api
1ab5b02f3a7c8ad1b84fc50db4fe1fc2fa7c91bd
[ "Apache-2.0" ]
2
2020-03-23T00:06:42.000Z
2021-02-24T21:41:40.000Z
jmeter_api/timers/__init__.py
dashawn888/jmeter_api
1ab5b02f3a7c8ad1b84fc50db4fe1fc2fa7c91bd
[ "Apache-2.0" ]
3
2020-11-09T14:14:25.000Z
2021-05-27T02:54:38.000Z
from jmeter_api.timers.constant_throughput_timer.elements import ConstantThroughputTimer, BasedOn from jmeter_api.timers.constant_timer.elements import ConstantTimer from jmeter_api.timers.uniform_random_timer.elements import UniformRandTimer
60.75
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0
0
0
0
0
0
0
0
0
0
d2bd972bab298994d41d91b8c6a75e48470ccec5
2,520
py
Python
tensorfn/distributed/launch.py
rosinality/tensorfn
cd410c5e6f6906d223f740501e711b9cfae260e4
[ "Apache-2.0" ]
13
2021-04-08T03:09:42.000Z
2022-03-18T08:27:17.000Z
tensorfn/distributed/launch.py
rosinality/tensorfn
cd410c5e6f6906d223f740501e711b9cfae260e4
[ "Apache-2.0" ]
2
2020-08-16T20:25:34.000Z
2021-07-13T00:35:52.000Z
tensorfn/distributed/launch.py
rosinality/tensorfn
cd410c5e6f6906d223f740501e711b9cfae260e4
[ "Apache-2.0" ]
null
null
null
import os import torch from torch import distributed as dist from torch import multiprocessing as mp from tensorfn import distributed as dist_fn def find_free_port(): import socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind(("", 0)) port = sock.getsockname()[1] sock.clo...
27.096774
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0.636508
0
0
0
0
0
0
0
0
443
0.175794
d2bffe6b8d76be452fc84a9fa325b868d681f43c
4,097
py
Python
VideoStitchingSubsystem/StereoCameraAPIs/MonoLensStream.py
AriaPahlavan/see-through-adas-core
7cc530243d324aecd9db538883bb77ee2d519661
[ "Apache-2.0" ]
null
null
null
VideoStitchingSubsystem/StereoCameraAPIs/MonoLensStream.py
AriaPahlavan/see-through-adas-core
7cc530243d324aecd9db538883bb77ee2d519661
[ "Apache-2.0" ]
null
null
null
VideoStitchingSubsystem/StereoCameraAPIs/MonoLensStream.py
AriaPahlavan/see-through-adas-core
7cc530243d324aecd9db538883bb77ee2d519661
[ "Apache-2.0" ]
null
null
null
from enum import Enum from threading import Thread import cv2 import time class Resolution(Enum): _32p = (64, 32) _96p = (128, 96) _120p = (160, 120) _144p = (256, 144) _240p = (360, 240) _288p = (480, 272) _360p = (480, 360) _480p = (720, 480) _576p = (720, 576) _Hd = (1280, ...
28.255172
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0.573102
4,016
0.980229
0
0
0
0
0
0
778
0.189895
d2c143baf7ea1e8434d64873e45800bbd43dfe04
444
py
Python
sdk/python/approzium/mysql/connector/pooling.py
UpGado/approzium
306b40f16a1ba0dfbe3a312e1c40881e98518137
[ "Apache-2.0" ]
59
2020-07-14T17:18:09.000Z
2022-02-24T07:39:22.000Z
sdk/python/approzium/mysql/connector/pooling.py
UpGado/approzium
306b40f16a1ba0dfbe3a312e1c40881e98518137
[ "Apache-2.0" ]
66
2020-07-09T19:11:55.000Z
2022-03-15T11:42:55.000Z
sdk/python/approzium/mysql/connector/pooling.py
UpGado/approzium
306b40f16a1ba0dfbe3a312e1c40881e98518137
[ "Apache-2.0" ]
9
2020-07-09T19:20:45.000Z
2022-02-24T07:39:26.000Z
from mysql.connector.pooling import MySQLConnectionPool from ._connect import _parse_kwargs, _patch_MySQLConnection class MySQLConnectionPool(MySQLConnectionPool): def set_config(self, **kwargs): kwargs = _parse_kwargs(kwargs) super(MySQLConnectionPool, self).set_config(**kwargs) def add_con...
31.714286
61
0.75
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0.72973
0
0
0
0
0
0
0
0
d2c1cd83dd904d0ffd396c1f85ce4d771a28e638
4,813
py
Python
app/network_x_tools/network_x_utils.py
ThembiNsele/ClimateMind-Backend
0e418000b2a0141a1e4a7c11dbe3564082a3f4bb
[ "MIT" ]
6
2020-08-20T10:49:59.000Z
2022-01-24T16:49:46.000Z
app/network_x_tools/network_x_utils.py
ThembiNsele/ClimateMind-Backend
0e418000b2a0141a1e4a7c11dbe3564082a3f4bb
[ "MIT" ]
95
2020-07-24T22:32:34.000Z
2022-03-05T15:01:16.000Z
app/network_x_tools/network_x_utils.py
ThembiNsele/ClimateMind-Backend
0e418000b2a0141a1e4a7c11dbe3564082a3f4bb
[ "MIT" ]
5
2020-07-30T17:29:09.000Z
2021-01-10T19:46:15.000Z
class network_x_utils: """ This class provides commonly used utils which are shared between all different types of NetworkX nodes (Feed Items, Solutions, Myths). For each of these, we want to be able to pull basic information like the IRI, Descriptions, Images, etc. Include any generalized Networ...
39.45082
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0.635155
4,814
0.999792
0
0
0
0
0
0
3,235
0.671859
d2c30d506f338f0ad2e0b0a0c5af2f47676aea3a
267
py
Python
setup.py
Faust-Wang/vswarm
d18ce643218c18ef1e762f40562104b2a0926ad7
[ "MIT" ]
21
2021-03-03T10:51:46.000Z
2022-03-28T11:00:35.000Z
setup.py
Faust-Wang/vswarm
d18ce643218c18ef1e762f40562104b2a0926ad7
[ "MIT" ]
2
2021-07-21T07:57:16.000Z
2022-03-17T12:41:51.000Z
setup.py
hvourtsis/vswarm
d18ce643218c18ef1e762f40562104b2a0926ad7
[ "MIT" ]
8
2021-02-27T14:29:55.000Z
2022-01-05T19:40:38.000Z
# Do not manually invoke this setup.py, use catkin instead! from setuptools import setup from catkin_pkg.python_setup import generate_distutils_setup setup_args = generate_distutils_setup( packages=['vswarm'], package_dir={'': 'src'} ) setup(**setup_args)
22.25
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0.764045
0
0
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0
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0
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0.277154
d2c38a755a40c6e19281f0cc94b831f228ba7f94
250
py
Python
实例学习Numpy与Matplotlib/创建 numpy.array.py
shao1chuan/pythonbook
cd9877d04e1e11422d38cc051e368d3d9ce2ab45
[ "MulanPSL-1.0" ]
95
2020-10-11T04:45:46.000Z
2022-02-25T01:50:40.000Z
实例学习Numpy与Matplotlib/创建 numpy.array.py
shao1chuan/pythonbook
cd9877d04e1e11422d38cc051e368d3d9ce2ab45
[ "MulanPSL-1.0" ]
null
null
null
实例学习Numpy与Matplotlib/创建 numpy.array.py
shao1chuan/pythonbook
cd9877d04e1e11422d38cc051e368d3d9ce2ab45
[ "MulanPSL-1.0" ]
30
2020-11-05T09:01:00.000Z
2022-03-08T05:58:55.000Z
import numpy as np nparr = np.array([i for i in range(10)]) a = np.zeros(10) f = np.zeros(10,dtype=float) n = np.full((3,5),44) r = np.random.randint(0,100,size=(3,5)) r2 = np.random.random((3,5)) x = np.linspace(0,100,50) print(nparr,a,f,n,r,r2,x)
22.727273
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0.64
0
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0
0
d2c38e45f035250f5b56f9b05cf87de9978e93b9
4,790
py
Python
examples/DecryptLoginExamples/crawlers/weibomonitor/weibomonitor.py
hedou/DecryptLogin
ff86a5d378c8a42d1caebbb7482658a95053f716
[ "Apache-2.0" ]
null
null
null
examples/DecryptLoginExamples/crawlers/weibomonitor/weibomonitor.py
hedou/DecryptLogin
ff86a5d378c8a42d1caebbb7482658a95053f716
[ "Apache-2.0" ]
null
null
null
examples/DecryptLoginExamples/crawlers/weibomonitor/weibomonitor.py
hedou/DecryptLogin
ff86a5d378c8a42d1caebbb7482658a95053f716
[ "Apache-2.0" ]
null
null
null
''' Function: 微博监控 Author: Charles 微信公众号: Charles的皮卡丘 ''' import re import time from DecryptLogin import login '''微博监控''' class WeiboMonitor(): def __init__(self, username, password, time_interval=30): _, self.session = self.login(username, password) self.headers = { 'Accep...
43.153153
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0
1,421
0.283406
d2c3e3e6ef11ddd684a0bcebf23085d7e1d9152c
1,191
py
Python
crawlai/items/critter/base_critter.py
apockill/CreepyCrawlAI
2862c03e686801884ffb579a7be29f3c9d0da610
[ "MIT" ]
13
2020-05-04T03:11:26.000Z
2021-12-05T03:57:45.000Z
crawlai/items/critter/base_critter.py
apockill/CreepyCrawlAI
2862c03e686801884ffb579a7be29f3c9d0da610
[ "MIT" ]
null
null
null
crawlai/items/critter/base_critter.py
apockill/CreepyCrawlAI
2862c03e686801884ffb579a7be29f3c9d0da610
[ "MIT" ]
null
null
null
from godot.bindings import ResourceLoader from crawlai.grid_item import GridItem from crawlai.items.food import Food from crawlai.math_utils import clamp from crawlai.turn import Turn from crawlai.position import Position _critter_resource = ResourceLoader.load("res://Game/Critter/Critter.tscn") class BaseCritter(G...
24.306122
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0.715365
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0.746432
0
0
61
0.051217
0
0
80
0.06717
d2c4507ff5f2b0e60108a433da49147fd8f6e6c4
3,008
py
Python
exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/doc_fragments/nios.py
tr3ck3r/linklight
5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7
[ "MIT" ]
17
2017-06-07T23:15:01.000Z
2021-08-30T14:32:36.000Z
ansible/ansible/plugins/doc_fragments/nios.py
SergeyCherepanov/ansible
875711cd2fd6b783c812241c2ed7a954bf6f670f
[ "MIT" ]
9
2017-06-25T03:31:52.000Z
2021-05-17T23:43:12.000Z
ansible/ansible/plugins/doc_fragments/nios.py
SergeyCherepanov/ansible
875711cd2fd6b783c812241c2ed7a954bf6f670f
[ "MIT" ]
3
2018-05-26T21:31:22.000Z
2019-09-28T17:00:45.000Z
# -*- coding: utf-8 -*- # Copyright: (c) 2015, Peter Sprygada <psprygada@ansible.com> # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) class ModuleDocFragment(object): # Standard files documentation fragment DOCUMENTATION = r''' options: provider: descriptio...
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0.939162
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0
0
0
0
2,942
0.978059
d2c4dfb8a30f8c36fa075d277e4458a4776a5ca8
25,299
py
Python
torchrec/metrics/rec_metric.py
xing-liu/torchrec
82ffde7a69fdb9c66b79a753d6f03afa5db3f73e
[ "BSD-3-Clause" ]
814
2022-02-23T17:24:14.000Z
2022-03-31T16:52:23.000Z
torchrec/metrics/rec_metric.py
xing-liu/torchrec
82ffde7a69fdb9c66b79a753d6f03afa5db3f73e
[ "BSD-3-Clause" ]
89
2022-02-23T17:29:56.000Z
2022-03-31T23:44:13.000Z
torchrec/metrics/rec_metric.py
xing-liu/torchrec
82ffde7a69fdb9c66b79a753d6f03afa5db3f73e
[ "BSD-3-Clause" ]
68
2022-02-23T17:42:17.000Z
2022-03-28T06:39:55.000Z
#!/usr/bin/env python3 # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. #!/usr/bin/env python3 import abc import math from collections import defaultdict, dequ...
38.331818
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0.616072
24,152
0.954662
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0.086288
742
0.029329
0
0
6,644
0.262619
d2c55dd79284c9bf304a1f86538b6964cbb89f09
7,594
py
Python
alison.py
johanhoiness/SlothBot
556f9e0f67aa90543bd98889b06a4b939e30450d
[ "MIT" ]
1
2017-06-28T09:24:49.000Z
2017-06-28T09:24:49.000Z
alison.py
johanhoiness/SlothBot
556f9e0f67aa90543bd98889b06a4b939e30450d
[ "MIT" ]
null
null
null
alison.py
johanhoiness/SlothBot
556f9e0f67aa90543bd98889b06a4b939e30450d
[ "MIT" ]
null
null
null
__author__ = 'JohnHiness' import sys import os import random import time import string import connection from time import strftime import ceq import json, urllib2 import thread args = sys.argv req_files = ['filegen.py', 'connection.py', 'commands.py', 'general.py', 'automatics.py'] for filename in req_files: if os....
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0
0
0
0
0
0
0
1,173
0.154464
d2c5679b86d58ca48ad37cdef98dbe5e554266cb
2,364
py
Python
pyroomacoustics/experimental/tests/test_deconvolution.py
HemaZ/pyroomacoustics
c401f829c71ff03a947f68f9b6b2f48346ae84b2
[ "MIT" ]
1
2020-02-13T14:39:37.000Z
2020-02-13T14:39:37.000Z
pyroomacoustics/experimental/tests/test_deconvolution.py
HemaZ/pyroomacoustics
c401f829c71ff03a947f68f9b6b2f48346ae84b2
[ "MIT" ]
null
null
null
pyroomacoustics/experimental/tests/test_deconvolution.py
HemaZ/pyroomacoustics
c401f829c71ff03a947f68f9b6b2f48346ae84b2
[ "MIT" ]
1
2021-01-14T08:42:47.000Z
2021-01-14T08:42:47.000Z
from unittest import TestCase import numpy as np from scipy.signal import fftconvolve import pyroomacoustics as pra # fix seed for repeatability np.random.seed(0) h_len = 30 x_len = 1000 SNR = 1000. # decibels h_lp = np.fft.irfft(np.ones(5), n=h_len) h_rand = np.random.randn(h_len) h_hann = pra.hann(h_len, flag='...
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0.630711
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0.381134
0
0
0
0
0
0
218
0.092217
d2c5ccb03692b30b21e99cbcada633194e147414
7,423
py
Python
pthelper/img_to_txt.py
hkcountryman/veg-scanner
6b3aa4d0799c901cecdbc0f4b5ca61b0d754ab30
[ "MIT" ]
null
null
null
pthelper/img_to_txt.py
hkcountryman/veg-scanner
6b3aa4d0799c901cecdbc0f4b5ca61b0d754ab30
[ "MIT" ]
null
null
null
pthelper/img_to_txt.py
hkcountryman/veg-scanner
6b3aa4d0799c901cecdbc0f4b5ca61b0d754ab30
[ "MIT" ]
null
null
null
import cv2 as cv from deskew import determine_skew import numpy as np from PIL import Image, ImageFilter, ImageOps from pytesseract import image_to_string from skimage import io from skimage.color import rgb2gray from skimage.transform import rotate from spellchecker import SpellChecker import traceback # On Windows, ...
33.588235
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0
0
5,027
0.677219
d2c5ed1f81d8bfe0be0278969594e7da6dcf2781
3,544
py
Python
scripts/training.py
tobinsouth/privacy-preserving-synthetic-mobility-data
fd4d1851b47e3e7304761a894b460e8345fae5db
[ "MIT" ]
null
null
null
scripts/training.py
tobinsouth/privacy-preserving-synthetic-mobility-data
fd4d1851b47e3e7304761a894b460e8345fae5db
[ "MIT" ]
null
null
null
scripts/training.py
tobinsouth/privacy-preserving-synthetic-mobility-data
fd4d1851b47e3e7304761a894b460e8345fae5db
[ "MIT" ]
null
null
null
# Params learning_rate = 0.001 k = 0.0025 x0 =2500 epochs = 4 batch_size=16 device = torch.device("cuda" if torch.cuda.is_available() else "cpu") import torch, numpy as np from tqdm import tqdm # Get the dataloader from dataloader import get_train_test trainStays, testStays = get_train_test(train_size=0.95, batch_siz...
30.290598
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0.628668
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0
0
0
0
0
0
0
616
0.173815
d2c662f276d75d5cf194b16fa8615d6ac1fdca1d
1,674
py
Python
tests/compute/planar/test_rotateZ.py
ianna/vector
c00b258049c0ea1de46f90311849923b96068a02
[ "BSD-3-Clause" ]
null
null
null
tests/compute/planar/test_rotateZ.py
ianna/vector
c00b258049c0ea1de46f90311849923b96068a02
[ "BSD-3-Clause" ]
null
null
null
tests/compute/planar/test_rotateZ.py
ianna/vector
c00b258049c0ea1de46f90311849923b96068a02
[ "BSD-3-Clause" ]
null
null
null
# Copyright (c) 2019-2021, Jonas Eschle, Jim Pivarski, Eduardo Rodrigues, and Henry Schreiner. # # Distributed under the 3-clause BSD license, see accompanying file LICENSE # or https://github.com/scikit-hep/vector for details. import numpy import pytest import vector.backends.numpy_ import vector.backends.object_ ...
37.2
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0
0
0
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0
0
256
0.152927
d2c66e24087a653bf88316c9ed3e62b1ba5b4aa5
3,791
py
Python
src/RIOT/tests/pkg_tensorflow-lite/mnist/mnist_mlp.py
ARte-team/ARte
19f17f57522e1b18ba390718fc94be246451837b
[ "MIT" ]
2
2020-04-30T08:17:45.000Z
2020-05-23T08:46:54.000Z
src/RIOT/tests/pkg_tensorflow-lite/mnist/mnist_mlp.py
ARte-team/ARte
19f17f57522e1b18ba390718fc94be246451837b
[ "MIT" ]
null
null
null
src/RIOT/tests/pkg_tensorflow-lite/mnist/mnist_mlp.py
ARte-team/ARte
19f17f57522e1b18ba390718fc94be246451837b
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 import os # imports for array-handling import numpy as np import tensorflow as tf # keras imports for the dataset and building our neural network from tensorflow.keras.datasets import mnist from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Dropout # l...
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101
0.026642
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0
0
0
1,265
0.333685
d2c77644e40785600cc8b3b66d9450e3d85ddf12
67
py
Python
lang/Python/random-numbers-1.py
ethansaxenian/RosettaDecode
8ea1a42a5f792280b50193ad47545d14ee371fb7
[ "MIT" ]
null
null
null
lang/Python/random-numbers-1.py
ethansaxenian/RosettaDecode
8ea1a42a5f792280b50193ad47545d14ee371fb7
[ "MIT" ]
null
null
null
lang/Python/random-numbers-1.py
ethansaxenian/RosettaDecode
8ea1a42a5f792280b50193ad47545d14ee371fb7
[ "MIT" ]
null
null
null
import random values = [random.gauss(1, .5) for i in range(1000)]
16.75
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0.686567
0
0
0
0
0
0
0
0
0
0
d2c7feb7c74a18d3044bb9f836e91d4015495e7f
155
py
Python
src/display.py
thebruce87/Photobooth
43ba9e9537bd51040c2cb2ffb809d7a8ca0633ef
[ "MIT" ]
null
null
null
src/display.py
thebruce87/Photobooth
43ba9e9537bd51040c2cb2ffb809d7a8ca0633ef
[ "MIT" ]
null
null
null
src/display.py
thebruce87/Photobooth
43ba9e9537bd51040c2cb2ffb809d7a8ca0633ef
[ "MIT" ]
null
null
null
class Display(): def __init__(self, width, height): self.width = width self.height = height def getSize(self): return (self.width, self.height)
19.375
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0.690323
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0.993548
0
0
0
0
0
0
0
0
d2c876fb5f375461dc3ae3b4e7ececc7c2f8aa23
2,091
py
Python
stock_api_handler.py
Sergix/analyst-server
a2ec7cc92610f78ac2a4ce4a46c52410219cd360
[ "MIT" ]
2
2020-03-16T01:09:10.000Z
2020-03-16T03:02:57.000Z
stock_api_handler.py
Sergix/analyst-server
a2ec7cc92610f78ac2a4ce4a46c52410219cd360
[ "MIT" ]
1
2020-04-21T16:49:53.000Z
2020-04-29T02:15:45.000Z
stock_api_handler.py
Sergix/analyst-server
a2ec7cc92610f78ac2a4ce4a46c52410219cd360
[ "MIT" ]
3
2020-03-16T14:46:41.000Z
2020-03-21T13:55:24.000Z
# This python script handles stock api request from yfinance # Last Updated: 4/7/2020 # Credits:nóto #Import yfinance api lib import yfinance as yf #Import pandas lib import pandas as pd #Import json to manipulate api data import json #Import math import math class StockApi(): def __init__(self): self.pan...
35.440678
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0.648015
1,828
0.873805
0
0
0
0
0
0
770
0.368069
d2c9cfe9e4e2384aabafbe6f290a4052329e6bc7
1,493
py
Python
hth/shows/tests/factories.py
roperi/myband
ec1955626fe6997484fd92ed02127b6899cd7062
[ "MIT" ]
1
2016-04-12T17:38:26.000Z
2016-04-12T17:38:26.000Z
hth/shows/tests/factories.py
bhrutledge/jahhills.com
74fe94a214f1ed5681bd45159315f0b68daf5a33
[ "MIT" ]
92
2015-04-03T10:04:55.000Z
2021-07-17T11:13:52.000Z
hth/shows/tests/factories.py
roperi/myband
ec1955626fe6997484fd92ed02127b6899cd7062
[ "MIT" ]
1
2021-01-26T18:02:49.000Z
2021-01-26T18:02:49.000Z
from datetime import date from random import randrange import factory import factory.fuzzy from hth.core.tests.utils import from_today class VenueFactory(factory.django.DjangoModelFactory): class Meta: model = 'shows.Venue' name = factory.Sequence(lambda n: 'Venue %d' % n) city = factory.Sequ...
26.192982
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0.704622
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0.897522
0
0
332
0.222371
0
0
169
0.113195
d2ca30ab580a71ee2a0484e370c2d881b8376a24
2,143
py
Python
homeassistant/components/eight_sleep/binary_sensor.py
andersop91/core
0e0ef0aa17073609eae7c974cf4c73306b7c414b
[ "Apache-2.0" ]
22,481
2020-03-02T13:09:59.000Z
2022-03-31T23:34:28.000Z
homeassistant/components/eight_sleep/binary_sensor.py
andersop91/core
0e0ef0aa17073609eae7c974cf4c73306b7c414b
[ "Apache-2.0" ]
31,101
2020-03-02T13:00:16.000Z
2022-03-31T23:57:36.000Z
homeassistant/components/eight_sleep/binary_sensor.py
andersop91/core
0e0ef0aa17073609eae7c974cf4c73306b7c414b
[ "Apache-2.0" ]
11,411
2020-03-02T14:19:20.000Z
2022-03-31T22:46:07.000Z
"""Support for Eight Sleep binary sensors.""" from __future__ import annotations import logging from pyeight.eight import EightSleep from homeassistant.components.binary_sensor import ( BinarySensorDeviceClass, BinarySensorEntity, ) from homeassistant.core import HomeAssistant from homeassistant.helpers.enti...
27.474359
86
0.691087
860
0.401307
0
0
167
0.077928
658
0.307046
265
0.123658
d2cb2cb149ab4d390a0fe9859ee6b67392f9a4c2
3,384
py
Python
tensorbay/opendataset/FLIC/loader.py
rexzheng324-c/tensorbay-python-sdk
764c28f34069229daa41474e2f104786dbfa973f
[ "MIT" ]
null
null
null
tensorbay/opendataset/FLIC/loader.py
rexzheng324-c/tensorbay-python-sdk
764c28f34069229daa41474e2f104786dbfa973f
[ "MIT" ]
null
null
null
tensorbay/opendataset/FLIC/loader.py
rexzheng324-c/tensorbay-python-sdk
764c28f34069229daa41474e2f104786dbfa973f
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # # Copyright 2021 Graviti. Licensed under MIT License. # # pylint: disable=invalid-name # pylint: disable=missing-module-docstring import os from typing import Any, Dict, Iterator, Tuple from tensorbay.dataset import Data, Dataset from tensorbay.exception import ModuleImportError from tensorba...
31.924528
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0.638889
0
0
1,454
0.429669
0
0
0
0
959
0.283392
d2cb4dbefc7f4606adaa9b77d466de95f1e38071
3,925
py
Python
my_answers/homework/OOP/athlete.py
eyalle/python_course
acc75fd3c81f69f314099051026c81d80d141a84
[ "MIT" ]
null
null
null
my_answers/homework/OOP/athlete.py
eyalle/python_course
acc75fd3c81f69f314099051026c81d80d141a84
[ "MIT" ]
null
null
null
my_answers/homework/OOP/athlete.py
eyalle/python_course
acc75fd3c81f69f314099051026c81d80d141a84
[ "MIT" ]
null
null
null
def get_time(time_in_seconds): import datetime time_str = str(datetime.timedelta(time_in_seconds)) time_fractions = time_str.split(":") time_fractions[0] = time_fractions[0].replace(",","") time_fractions[-1] += 's' time_fractions[-2] += 'm' time_fractions[-3] += 'h' # print(time_fracti...
39.25
125
0.642803
2,799
0.713121
0
0
0
0
0
0
343
0.087389
d2cbe0ce287e68ba03cda24086915b54c95f413e
3,391
py
Python
osisoft/pidevclub/piwebapi/models/pi_data_server_license.py
jugillar/PI-Web-API-Client-Python
9652e18384d8c66194c6d561d5ef01f60d820253
[ "Apache-2.0" ]
30
2019-01-03T03:09:25.000Z
2022-03-30T17:42:54.000Z
osisoft/pidevclub/piwebapi/models/pi_data_server_license.py
jugillar/PI-Web-API-Client-Python
9652e18384d8c66194c6d561d5ef01f60d820253
[ "Apache-2.0" ]
null
null
null
osisoft/pidevclub/piwebapi/models/pi_data_server_license.py
jugillar/PI-Web-API-Client-Python
9652e18384d8c66194c6d561d5ef01f60d820253
[ "Apache-2.0" ]
46
2018-11-07T14:46:35.000Z
2022-03-31T12:23:39.000Z
# coding: utf-8 """ Copyright 2018 OSIsoft, LLC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at <http://www.apache.org/licenses/LICENSE-2.0> Unless required by applicable law or agreed t...
23.548611
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0.714833
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0.809496
0
0
830
0.244766
0
0
875
0.258036
d2ccb686d34873a1a30c9b50f3a2bad12ac217e0
4,054
py
Python
bot.py
JavierOramas/scholar_standing_bot
9afde1fc0d56a3c57cf281092ff5c3d123ddac2f
[ "MIT" ]
null
null
null
bot.py
JavierOramas/scholar_standing_bot
9afde1fc0d56a3c57cf281092ff5c3d123ddac2f
[ "MIT" ]
null
null
null
bot.py
JavierOramas/scholar_standing_bot
9afde1fc0d56a3c57cf281092ff5c3d123ddac2f
[ "MIT" ]
2
2021-09-19T21:08:55.000Z
2021-09-19T21:09:39.000Z
#! /root/anaconda3/bin/python import os from apscheduler.schedulers.asyncio import AsyncIOScheduler from pyrogram import Client, filters from read_config import read_config import json import requests import schedule import time def get_value_usd(sum): price = requests.get('https://api.coingecko.com/api/v3/simple/...
30.712121
228
0.619142
0
0
0
0
3,050
0.751787
0
0
1,387
0.341878
d2d16238955afe2195185ab27a0954cf27e01b00
7,622
py
Python
skdecide/discrete_optimization/rcpsp_multiskill/parser/rcpsp_multiskill_parser.py
emilienDespres/scikit-decide
2a3dd2d93e5e6d07984e1bc02b6e969261aeefbc
[ "MIT" ]
27
2020-11-23T11:45:31.000Z
2022-03-22T08:08:00.000Z
skdecide/discrete_optimization/rcpsp_multiskill/parser/rcpsp_multiskill_parser.py
emilienDespres/scikit-decide
2a3dd2d93e5e6d07984e1bc02b6e969261aeefbc
[ "MIT" ]
94
2021-02-24T09:50:23.000Z
2022-02-27T10:07:15.000Z
skdecide/discrete_optimization/rcpsp_multiskill/parser/rcpsp_multiskill_parser.py
emilienDespres/scikit-decide
2a3dd2d93e5e6d07984e1bc02b6e969261aeefbc
[ "MIT" ]
12
2020-12-08T10:38:26.000Z
2021-10-01T09:17:04.000Z
# Copyright (c) AIRBUS and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. from __future__ import annotations from typing import Dict, Tuple from skdecide.discrete_optimization.rcpsp_multiskill.rcpsp_multiskill import ( E...
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0.222907
d2d1d69838e8dd6599bd00b4fca0bacfaf367308
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py
Python
pipe_anchorages/logging_monkeypatch.py
GlobalFishingWatch/anchorages_pipeline
88764545b693bfb65fc7a7f62a344fb2afbc3d97
[ "Apache-2.0" ]
3
2017-12-22T10:19:15.000Z
2020-04-20T10:28:43.000Z
pipe_tools/beam/logging_monkeypatch.py
GlobalFishingWatch/pipe-tools
34dff591997bb2c25e018df86d13a9d42972032b
[ "Apache-2.0" ]
37
2017-10-22T12:00:59.000Z
2022-02-08T19:17:58.000Z
pipe_tools/beam/logging_monkeypatch.py
GlobalFishingWatch/pipe-tools
34dff591997bb2c25e018df86d13a9d42972032b
[ "Apache-2.0" ]
3
2018-01-21T14:07:58.000Z
2021-07-28T16:02:20.000Z
import logging # monkey patch to suppress the annoying warning you get when you import apache_beam # # No handlers could be found for logger "oauth2client.contrib.multistore_file" # # This warning is harmless, but annooying when you are using beam from a command line app # see: https://issues.apache.org/jira/browse/BE...
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0.784906
d2d2f4b2d01e6090619cd23b148cfe0e1bc36f87
330
py
Python
core/managers.py
Bilal815/ecommerce_storee
45e61f1d865a65b4c52d74502b4fcab7ee6c1adf
[ "MIT" ]
95
2020-04-13T09:02:30.000Z
2022-03-25T14:11:34.000Z
core/managers.py
Bilal815/ecommerce_api
a3d8ce7a9e1fa2528d240d5ab508afe92607c9f8
[ "MIT" ]
87
2020-02-21T17:58:56.000Z
2022-03-21T21:37:05.000Z
core/managers.py
Bilal815/ecommerce_api
a3d8ce7a9e1fa2528d240d5ab508afe92607c9f8
[ "MIT" ]
33
2021-01-18T09:30:29.000Z
2022-03-30T01:31:57.000Z
from django.db import models class SoftDeleteManager(models.Manager): def save_soft_delete(self): self.is_deleted = True self.save() return True def get_soft_delete(self): return self.filter(is_deleted=True) def get_unsoft_delete(self): return self.filter(is_delet...
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d2d2fa8cda2955386068decf56b4b942626e5d83
22,286
py
Python
mizani/breaks.py
stillmatic/mizani
9a9dcb2b2ae8fca9a1c5b5e475be4d1f801bda1c
[ "BSD-3-Clause" ]
null
null
null
mizani/breaks.py
stillmatic/mizani
9a9dcb2b2ae8fca9a1c5b5e475be4d1f801bda1c
[ "BSD-3-Clause" ]
null
null
null
mizani/breaks.py
stillmatic/mizani
9a9dcb2b2ae8fca9a1c5b5e475be4d1f801bda1c
[ "BSD-3-Clause" ]
null
null
null
""" All scales have a means by which the values that are mapped onto the scale are interpreted. Numeric digital scales put out numbers for direct interpretation, but most scales cannot do this. What they offer is named markers/ticks that aid in assessing the values e.g. the common odometer will have ticks and values to...
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0.449026
d2d32938d031d59331d2f4a11e7ede6bb4a40fe0
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py
Python
examples/04_sweep_wind_directions.py
ElieKadoche/floris
d18f4d263ecabf502242592f9d60815a07c7b89c
[ "Apache-2.0" ]
null
null
null
examples/04_sweep_wind_directions.py
ElieKadoche/floris
d18f4d263ecabf502242592f9d60815a07c7b89c
[ "Apache-2.0" ]
1
2019-03-02T00:29:12.000Z
2019-03-02T04:59:54.000Z
examples/04_sweep_wind_directions.py
ElieKadoche/floris
d18f4d263ecabf502242592f9d60815a07c7b89c
[ "Apache-2.0" ]
null
null
null
# Copyright 2022 NREL # Licensed under the Apache License, Version 2.0 (the "License"); you may not # use this file except in compliance with the License. You may obtain a copy of # the License at http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distri...
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0.645937
d2d3e9419d90d8f17a71b13f9d3381c03813b4d4
623
py
Python
1.main.py
learning-nn/nn_from_scratch
8f8f46efd5814a3cca645b644f70ddc07210256f
[ "MIT" ]
null
null
null
1.main.py
learning-nn/nn_from_scratch
8f8f46efd5814a3cca645b644f70ddc07210256f
[ "MIT" ]
null
null
null
1.main.py
learning-nn/nn_from_scratch
8f8f46efd5814a3cca645b644f70ddc07210256f
[ "MIT" ]
null
null
null
import numpy import numpy as np # converting to a layer with 4 input and 3 neuron inputs = [[1.2, 2.1, 3.4, 1.2], [1.2, 2.1, 3.4, 1.2], [1.2, 2.1, 3.4, 1.2]] print(numpy.shape(inputs)) weights = [[4.1, -4.5, 3.1, 2.3], [-4.1, 4.5, 2.1, 2.3], [4.1, 4.5, 3.1, -2.3]] print(numpy...
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0.078652
d2d3eacc8c8caee95603f50b68c177c406992381
83
py
Python
backend/grant/task/__init__.py
DSBUGAY2/zcash-grant-system
729b9edda13bd1eeb3f445d889264230c6470d7e
[ "MIT" ]
8
2019-06-03T16:29:49.000Z
2021-05-11T20:38:36.000Z
backend/grant/task/__init__.py
DSBUGAY2/zcash-grant-system
729b9edda13bd1eeb3f445d889264230c6470d7e
[ "MIT" ]
342
2019-01-15T19:13:58.000Z
2020-03-24T16:38:13.000Z
backend/grant/task/__init__.py
DSBUGAY2/zcash-grant-system
729b9edda13bd1eeb3f445d889264230c6470d7e
[ "MIT" ]
5
2019-02-15T09:06:47.000Z
2022-01-24T21:38:41.000Z
from . import models from . import views from . import commands from . import jobs
16.6
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